Diffusion size and structural virality: The effects of message and network features on spreading health information on twitter
Relying on diffusion of innovation theory, this study examines the impacts of perceived message features and network characteristics on size (i.e., the number of retweets a message receives) and structural virality (i.e., quantified distinction between broadcast and viral diffusion) of information d...
Saved in:
| Published in: | Computers in human behavior Vol. 89; pp. 111 - 120 |
|---|---|
| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
Elsevier Ltd
01.12.2018
Elsevier Science Ltd |
| Subjects: | |
| ISSN: | 0747-5632, 1873-7692, 0747-5632 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Relying on diffusion of innovation theory, this study examines the impacts of perceived message features and network characteristics on size (i.e., the number of retweets a message receives) and structural virality (i.e., quantified distinction between broadcast and viral diffusion) of information diffusion on Twitter. The study collected 425 unique tweets posted by CDC during a 17-week period and constructed a diffusion tree for each unique tweet. Findings indicated that, with respect to message features, perceived efficacy after reading a tweet positively predicted diffusion size of the tweet, whereas perceived susceptibility to a health condition after reading a tweet positively predicted structural virality of the tweet. Perceived negative emotion positively predicted both size and structural virality. With respect to network features, the level of involvement of brokers in diffusing a tweet increased the tweet's structural virality. Theoretical and practical implications were discussed on disseminating health information via broadcasting and viral diffusion on social media.
•Tweets that increased perceived efficacy had more retweets.•Tweets that increased perceived susceptibility had higher structural virality.•Perceived negative emotion predicted both diffusion size and structural virality.•Broker involvement in diffusing a tweet increased its structural virality. |
|---|---|
| AbstractList | Relying on diffusion of innovation theory, this study examines the impacts of perceived message features and network characteristics on size (i.e., the number of retweets a message receives) and structural virality (i.e., quantified distinction between broadcast and viral diffusion) of information diffusion on Twitter. The study collected 425 unique tweets posted by CDC during a 17-week period and constructed a diffusion tree for each unique tweet. Findings indicated that, with respect to message features, perceived efficacy after reading a tweet positively predicted diffusion size of the tweet, whereas perceived susceptibility to a health condition after reading a tweet positively predicted structural virality of the tweet. Perceived negative emotion positively predicted both size and structural virality. With respect to network features, the level of involvement of brokers in diffusing a tweet increased the tweet's structural virality. Theoretical and practical implications were discussed on disseminating health information via broadcasting and viral diffusion on social media.Relying on diffusion of innovation theory, this study examines the impacts of perceived message features and network characteristics on size (i.e., the number of retweets a message receives) and structural virality (i.e., quantified distinction between broadcast and viral diffusion) of information diffusion on Twitter. The study collected 425 unique tweets posted by CDC during a 17-week period and constructed a diffusion tree for each unique tweet. Findings indicated that, with respect to message features, perceived efficacy after reading a tweet positively predicted diffusion size of the tweet, whereas perceived susceptibility to a health condition after reading a tweet positively predicted structural virality of the tweet. Perceived negative emotion positively predicted both size and structural virality. With respect to network features, the level of involvement of brokers in diffusing a tweet increased the tweet's structural virality. Theoretical and practical implications were discussed on disseminating health information via broadcasting and viral diffusion on social media. Relying on diffusion of innovation theory, this study examines the impacts of perceived message features and network characteristics on size (i.e., the number of retweets a message receives) and structural virality (i.e., quantified distinction between broadcast and viral diffusion) of information diffusion on Twitter. The study collected 425 unique tweets posted by CDC during a 17-week period and constructed a diffusion tree for each unique tweet. Findings indicated that, with respect to message features, perceived efficacy after reading a tweet positively predicted diffusion size of the tweet, whereas perceived susceptibility to a health condition after reading a tweet positively predicted structural virality of the tweet. Perceived negative emotion positively predicted both size and structural virality. With respect to network features, the level of involvement of brokers in diffusing a tweet increased the tweet's structural virality. Theoretical and practical implications were discussed on disseminating health information via broadcasting and viral diffusion on social media. Relying on diffusion of innovation theory, this study examines the impacts of perceived message features and network characteristics on size (i.e., the number of retweets a message receives) and structural virality (i.e., quantified distinction between broadcast and viral diffusion) of information diffusion on Twitter. The study collected 425 unique tweets posted by CDC during a 17-week period and constructed a diffusion tree for each unique tweet. Findings indicated that, with respect to message features, perceived efficacy after reading a tweet positively predicted diffusion size of the tweet, whereas perceived susceptibility to a health condition after reading a tweet positively predicted structural virality of the tweet. Perceived negative emotion positively predicted both size and structural virality. With respect to network features, the level of involvement of brokers in diffusing a tweet increased the tweet's structural virality. Theoretical and practical implications were discussed on disseminating health information via broadcasting and viral diffusion on social media. • Tweets that increased perceived efficacy had more retweets. • Tweets that increased perceived susceptibility had higher structural virality. • Perceived negative emotion predicted both diffusion size and structural virality. • Broker involvement in diffusing a tweet increased its structural virality. Relying on diffusion of innovation theory, this study examines the impacts of perceived message features and network characteristics on size (i.e., the number of retweets a message receives) and structural virality (i.e., quantified distinction between broadcast and viral diffusion) of information diffusion on Twitter. The study collected 425 unique tweets posted by CDC during a 17-week period and constructed a diffusion tree for each unique tweet. Findings indicated that, with respect to message features, perceived efficacy after reading a tweet positively predicted diffusion size of the tweet, whereas perceived susceptibility to a health condition after reading a tweet positively predicted structural virality of the tweet. Perceived negative emotion positively predicted both size and structural virality. With respect to network features, the level of involvement of brokers in diffusing a tweet increased the tweet's structural virality. Theoretical and practical implications were discussed on disseminating health information via broadcasting and viral diffusion on social media. •Tweets that increased perceived efficacy had more retweets.•Tweets that increased perceived susceptibility had higher structural virality.•Perceived negative emotion predicted both diffusion size and structural virality.•Broker involvement in diffusing a tweet increased its structural virality. |
| Author | Tan, Pang-Ning Liu, Wuyu Bae, Arram Cheng, Ying Peng, Wei Meng, Jingbo |
| AuthorAffiliation | c Department of Computer Science and Engineering, Michigan State University, East Lansing, USA b Department of Media and Information, Michigan State University, East Lansing, USA a Department of Communication, Michigan State University, East Lansing, USA d Department of Communication, Bellarmine University, Louisville, KY, USA |
| AuthorAffiliation_xml | – name: a Department of Communication, Michigan State University, East Lansing, USA – name: c Department of Computer Science and Engineering, Michigan State University, East Lansing, USA – name: d Department of Communication, Bellarmine University, Louisville, KY, USA – name: b Department of Media and Information, Michigan State University, East Lansing, USA |
| Author_xml | – sequence: 1 givenname: Jingbo surname: Meng fullname: Meng, Jingbo email: jingbome@msu.edu organization: Department of Communication, Michigan State University, East Lansing, USA – sequence: 2 givenname: Wei surname: Peng fullname: Peng, Wei organization: Department of Media and Information, Michigan State University, East Lansing, USA – sequence: 3 givenname: Pang-Ning surname: Tan fullname: Tan, Pang-Ning organization: Department of Computer Science and Engineering, Michigan State University, East Lansing, USA – sequence: 4 givenname: Wuyu surname: Liu fullname: Liu, Wuyu organization: Department of Communication, Bellarmine University, Louisville, KY, USA – sequence: 5 givenname: Ying surname: Cheng fullname: Cheng, Ying organization: Department of Communication, Michigan State University, East Lansing, USA – sequence: 6 givenname: Arram surname: Bae fullname: Bae, Arram organization: Department of Communication, Michigan State University, East Lansing, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32288177$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kUtv1DAUhS1URKeFH8AGWWLDJsGPSRyDVAm1vKRKbMracpzriYeMPdjOVGXBb6-HKRV0UcmyF_c7x_fec4KOfPCA0EtKakpo-3Zdm7GvGaFdTURNuHyCFrQTvBKtZEdoQcRSVE3L2TE6SWlNCGka0j5Dx5yxrqNCLNDvC2ftnFzwOLlfgLUfcMpxNnmOesI7V26Xb97hqxEwWAsmJxws3kBKenXgPeTrEH9gC7qooNSL2TaCHpxf4RH0lEfsvA1xo_P-p3LytcsZ4nP01OopwYu79xR9__Tx6vxLdfnt89fzD5eVWQqZq6EXjZSsWxLTSSIlyKHlpgHZ0J4aQWxHweieFKqhhLeNhqYXwxIY7_veUH6Kzg6-27nfwGDA5zKY2ka30fFGBe3U_xXvRrUKOyUoK6Z7gzd3BjH8nCFltXHJwDRpD2FOinFZEhFcioK-foCuwxx9GU8xWjbPWt52hXr1b0f3rfyNpgD0AJgYUopg7xFK1D5-tVYlfrWPXxGhSvxFIx5ojMt_dl6GctOjyvcHJZQUdg6iSsaBNzC4WDJXQ3CPqG8Bu2LMYw |
| CitedBy_id | crossref_primary_10_1016_j_jretconser_2024_103978 crossref_primary_10_2196_38541 crossref_primary_10_1108_INTR_07_2021_0424 crossref_primary_10_1108_EL_12_2020_0329 crossref_primary_10_1108_ITP_02_2019_0097 crossref_primary_10_1016_j_chb_2023_108050 crossref_primary_10_1017_pls_2021_19 crossref_primary_10_3390_ijerph191912340 crossref_primary_10_1016_j_copsyc_2019_08_004 crossref_primary_10_1016_j_chb_2020_106424 crossref_primary_10_1007_s00607_025_01551_7 crossref_primary_10_1007_s00521_019_04599_7 crossref_primary_10_1057_s41270_025_00423_5 crossref_primary_10_3145_epi_2020_sep_20 crossref_primary_10_1016_j_chb_2019_09_006 crossref_primary_10_1038_s41598_021_01813_2 crossref_primary_10_2196_53696 crossref_primary_10_1016_j_physa_2019_122639 crossref_primary_10_1080_10510974_2021_1917437 crossref_primary_10_1016_j_chb_2024_108380 crossref_primary_10_3389_fpsyg_2023_1041016 crossref_primary_10_1108_OIR_11_2024_0722 crossref_primary_10_1108_INTR_07_2024_1123 crossref_primary_10_1080_10494820_2024_2444530 crossref_primary_10_1007_s10726_022_09784_z crossref_primary_10_1016_j_chb_2020_106354 crossref_primary_10_1109_TCSS_2023_3301951 crossref_primary_10_1016_j_chb_2018_12_024 crossref_primary_10_1186_s12889_023_15578_y crossref_primary_10_1016_j_im_2024_103925 crossref_primary_10_1080_17517575_2021_1894354 crossref_primary_10_3390_su14010036 crossref_primary_10_1038_s41598_022_19433_9 crossref_primary_10_1108_LHT_02_2023_0073 crossref_primary_10_1007_s10489_024_05723_4 crossref_primary_10_1016_j_tele_2024_102209 crossref_primary_10_1080_1553118X_2024_2342460 crossref_primary_10_3390_ijerph18031212 crossref_primary_10_1177_20552076221085061 crossref_primary_10_3389_fpsyg_2022_1041016 crossref_primary_10_1007_s10257_023_00628_0 crossref_primary_10_1073_pnas_2100786118 crossref_primary_10_1080_10410236_2023_2281075 crossref_primary_10_1080_10410236_2024_2343464 crossref_primary_10_1080_0144929X_2023_2222192 crossref_primary_10_2196_30451 crossref_primary_10_1177_08944393231178603 crossref_primary_10_2196_57951 crossref_primary_10_1080_09537325_2023_2259006 crossref_primary_10_3389_frai_2022_734347 crossref_primary_10_1080_10410236_2024_2375478 crossref_primary_10_3390_e27070699 crossref_primary_10_1007_s13278_025_01449_4 crossref_primary_10_1080_10410236_2023_2175635 crossref_primary_10_1016_j_chb_2023_107841 crossref_primary_10_1016_j_ipm_2020_102354 |
| Cites_doi | 10.2105/AJPH.2012.301166 10.1002/asi.21462 10.1177/1461444812450684 10.1016/0022-1031(83)90034-3 10.1080/15213269.2014.941112 10.1080/03637759209376276 10.1088/1742-5468/2008/10/P10008 10.1007/s10115-011-0445-x 10.1080/10410236.2014.960061 10.1086/671345 10.1126/science.1185231 10.1111/j.1083-6101.2007.00393.x 10.1016/j.socnet.2010.03.003 10.1177/107769900308000107 10.1111/j.1468-2885.2003.tb00292.x 10.1111/j.1467-9280.2007.01924.x 10.1177/1461444810385389 10.1126/science.aap9559 10.1111/jcom.12160 10.1037/1076-8998.5.1.95 10.1037/0033-2909.86.2.420 10.1287/orsc.1060.0242 10.1287/mnsc.2015.2158 10.1177/002234336500200104 10.1093/pan/mpr057 10.2753/MIS0742-1222290408 10.1038/srep02522 10.1080/10410236.2015.1027033 10.1509/jmr.10.0353 10.1086/518527 10.1037/0022-3514.85.2.348 10.1016/j.chb.2015.04.070 10.1177/0093650213478440 10.2196/jmir.3117 10.1016/j.jcps.2014.05.002 10.1177/1754073908097189 10.1037/1082-989X.1.1.30 10.1086/225469 10.1002/dir.10073 10.1177/0002764213479371 10.1080/108107396127988 10.1073/pnas.0610245104 |
| ContentType | Journal Article |
| Copyright | 2018 Elsevier Ltd 2018 Elsevier Ltd. All rights reserved. Copyright Elsevier Science Ltd. Dec 2018 2018 Elsevier Ltd. All rights reserved. 2018 Elsevier Ltd |
| Copyright_xml | – notice: 2018 Elsevier Ltd – notice: 2018 Elsevier Ltd. All rights reserved. – notice: Copyright Elsevier Science Ltd. Dec 2018 – notice: 2018 Elsevier Ltd. All rights reserved. 2018 Elsevier Ltd |
| DBID | AAYXX CITATION NPM 7SC 8FD JQ2 L7M L~C L~D 7X8 5PM |
| DOI | 10.1016/j.chb.2018.07.039 |
| DatabaseName | CrossRef PubMed Computer and Information Systems Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional MEDLINE - Academic PubMed Central (Full Participant titles) |
| DatabaseTitle | CrossRef PubMed Computer and Information Systems Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Advanced Technologies Database with Aerospace ProQuest Computer Science Collection Computer and Information Systems Abstracts Professional MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic Computer and Information Systems Abstracts PubMed |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Psychology Computer Science |
| EISSN | 1873-7692 0747-5632 |
| EndPage | 120 |
| ExternalDocumentID | PMC7127591 32288177 10_1016_j_chb_2018_07_039 S0747563218303613 |
| Genre | Journal Article |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 186 1B1 1RT 1~. 1~5 29F 4.4 457 4G. 53G 5GY 5VS 6J9 7-5 71M 8P~ 9JN 9JO AABNK AACTN AADFP AAEDT AAEDW AAFJI AAGJA AAGUQ AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABFNM ABFRF ABIVO ABJNI ABMAC ABMMH ABOYX ABXDB ABYKQ ACDAQ ACGFO ACGFS ACHQT ACNNM ACRLP ACXNI ACZNC ADBBV ADEZE ADHUB ADJOM ADMUD AEBSH AEFWE AEKER AFFNX AFKWA AFTJW AFYLN AGHFR AGUBO AGYEJ AHHHB AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV AKYCK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOMHK AOUOD ASPBG AVARZ AVWKF AXJTR AZFZN BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FA8 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA GBOLZ HF~ HLZ HMW HVGLF HZ~ H~9 IHE J1W KOM LG9 LPU M3V M41 MO0 N9A NHB O-L O9- OAUVE OKEIE OZT P-8 P-9 P2P PC. PRBVW Q38 R2- RIG ROL RPZ RXW SBC SCC SDF SDG SDP SES SEW SPC SPCBC SPS SSB SSO SSV SSY SSZ T5K TAE UMD UNMZH WUQ XPP XSW ZCA ~G- 9DU AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD NPM 7SC 8FD AGCQF JQ2 L7M L~C L~D 7X8 5PM |
| ID | FETCH-LOGICAL-c479t-db75992840c89099e9d63c5e951b1c70f81ecab0759510365ae5b7d4e23bbbc13 |
| ISICitedReferencesCount | 58 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000449136900012&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0747-5632 |
| IngestDate | Tue Sep 30 16:40:52 EDT 2025 Sun Nov 09 14:38:23 EST 2025 Wed Aug 13 09:30:55 EDT 2025 Wed Feb 19 02:30:30 EST 2025 Sat Nov 29 07:16:12 EST 2025 Tue Nov 18 22:04:20 EST 2025 Fri Feb 23 02:40:21 EST 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Social network Information diffusion Structural virality Social media Health information |
| Language | English |
| License | 2018 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c479t-db75992840c89099e9d63c5e951b1c70f81ecab0759510365ae5b7d4e23bbbc13 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | https://pubmed.ncbi.nlm.nih.gov/PMC7127591 |
| PMID | 32288177 |
| PQID | 2132226368 |
| PQPubID | 2038346 |
| PageCount | 10 |
| ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_7127591 proquest_miscellaneous_2390167397 proquest_journals_2132226368 pubmed_primary_32288177 crossref_primary_10_1016_j_chb_2018_07_039 crossref_citationtrail_10_1016_j_chb_2018_07_039 elsevier_sciencedirect_doi_10_1016_j_chb_2018_07_039 |
| PublicationCentury | 2000 |
| PublicationDate | 2018-12-01 |
| PublicationDateYYYYMMDD | 2018-12-01 |
| PublicationDate_xml | – month: 12 year: 2018 text: 2018-12-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States – name: Elmsford |
| PublicationTitle | Computers in human behavior |
| PublicationTitleAlternate | Comput Human Behav |
| PublicationYear | 2018 |
| Publisher | Elsevier Ltd Elsevier Science Ltd |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier Science Ltd |
| References | Gross, John (bib23) 2003; 85 Witte, Cameron, Mckeon (bib59) 1996; 1 Valente, Fujimoto (bib54) 2010; 32 Zhao, Wu, Feng (bib61) 2012; 32 Witte (bib58) 1992; 59 Fleming, Waguespack (bib17) 2007; 18 Suh, Hong, Pirolli (bib49) 2010 Shrout, Fleiss (bib47) 1979; 86 Berger (bib3) 2014; 24 Galtung, Ruge (bib18) 1965; 2 Goel, Anderson, Hofman, Watts (bib19) 2016; 62 Rimé (bib45) 2009; 1 O'Keefe (bib44) 2003; 13 Harris, Mueller, Snider (bib26) 2013; 103 John (bib28) 2012; 15 Valente (bib53) 1995 Burt (bib9) 1992 Sysomos (bib50) 2010 Centola (bib12) 2010; 329 Thelwall, Buckley (bib51) 2011; 62 Ellison, Steinfield, Lampe (bib15) 2011; 13 Blondel, Guillaume, Lambiotte, Lefebvre (bib7) 2008; 2008 Kissler, Herbert, Peyk (bib32) 2007; 18 Kee, Sparks, Struppa, Mannucci, Damiano (bib30) 2016; 31 Tufekci (bib52) 2014 Hansen, Arvidsson, Nielsen, Colleoni, Etter (bib25) 2011 McGraw, Wong (bib39) 1996; 1 Cameron, Trivedi (bib10) 2013 Yang, Counts (bib60) 2010 Cha, Haddadi, Benevenuto, Gummadi (bib13) 2010; 10 Easley, Kleinberg (bib14) 2010 Figueiredo, Chen, Azevedo (bib16) 2015; 51 Granovetter (bib22) 1973; 78 Weng, Menczer, Ahn (bib57) 2013; 3 Onnela, Saramäki, Hyvönen (bib43) 2007; 104 Grandey (bib21) 2000; 5 Vosoughi, Roy, Aral (bib55) 2018; 359 González-Bailón, Borge-Holthoefer, Moreno (bib20) 2013; 57 Knobloch-Westerwick, Sarge (bib33) 2015; 42 Newman (bib42) 2010 Berger, Milkman (bib5) 2012; 49 Berinsky, Huber, Lenz (bib6) 2011; 20 Boyd, Ellison (bib8) 2007; 13 Riff, Lacy, Fico (bib71) 2014 Berger, Iyengar (bib4) 2013; 40 McLaughlin, Hou, Meng (bib40) 2016; 31 Hennig-Thurau, Gwinner, Walsh, Gremler (bib27) 2004; 18 Cappella, Kim, Albarracín (bib11) 2015; 18 Katz, Lazarsfeld (bib29) 1955 Amabile (bib1) 1983; 19 Bakshy, Rosenn, Marlow, Adamic (bib2) 2012 Lazarus (bib37) 1991 Watts, Dodds (bib56) 2007; 34 Nahon, Hemsley (bib41) 2013 Stieglitz, Dang-Xuan (bib48) 2013; 29 Kim (bib31) 2015; 65 Lou, Tang (bib38) 2013 Knobloch, Carpentier, Zillmann (bib34) 2003; 80 Kontos, Blake, Chou, Prestin (bib35) 2014; 16 Rogers (bib46) 2003 Witte (10.1016/j.chb.2018.07.039_bib59) 1996; 1 Granovetter (10.1016/j.chb.2018.07.039_bib22) 1973; 78 Cameron (10.1016/j.chb.2018.07.039_bib10) 2013 Cappella (10.1016/j.chb.2018.07.039_bib11) 2015; 18 Kee (10.1016/j.chb.2018.07.039_bib30) 2016; 31 Galtung (10.1016/j.chb.2018.07.039_bib18) 1965; 2 Thelwall (10.1016/j.chb.2018.07.039_bib51) 2011; 62 Zhao (10.1016/j.chb.2018.07.039_bib61) 2012; 32 Bakshy (10.1016/j.chb.2018.07.039_bib2) 2012 Knobloch-Westerwick (10.1016/j.chb.2018.07.039_bib33) 2015; 42 Gross (10.1016/j.chb.2018.07.039_bib23) 2003; 85 McLaughlin (10.1016/j.chb.2018.07.039_bib40) 2016; 31 Fleming (10.1016/j.chb.2018.07.039_bib17) 2007; 18 Suh (10.1016/j.chb.2018.07.039_bib49) 2010 Kim (10.1016/j.chb.2018.07.039_bib31) 2015; 65 Figueiredo (10.1016/j.chb.2018.07.039_bib16) 2015; 51 Valente (10.1016/j.chb.2018.07.039_bib53) 1995 Berinsky (10.1016/j.chb.2018.07.039_bib6) 2011; 20 Valente (10.1016/j.chb.2018.07.039_bib54) 2010; 32 Newman (10.1016/j.chb.2018.07.039_bib42) 2010 Rimé (10.1016/j.chb.2018.07.039_bib45) 2009; 1 Yang (10.1016/j.chb.2018.07.039_bib60) 2010 Grandey (10.1016/j.chb.2018.07.039_bib21) 2000; 5 Blondel (10.1016/j.chb.2018.07.039_bib7) 2008; 2008 Hennig-Thurau (10.1016/j.chb.2018.07.039_bib27) 2004; 18 Hansen (10.1016/j.chb.2018.07.039_bib25) 2011 Cha (10.1016/j.chb.2018.07.039_bib13) 2010; 10 Easley (10.1016/j.chb.2018.07.039_bib14) 2010 Goel (10.1016/j.chb.2018.07.039_bib19) 2016; 62 González-Bailón (10.1016/j.chb.2018.07.039_bib20) 2013; 57 Burt (10.1016/j.chb.2018.07.039_bib9) 1992 Tufekci (10.1016/j.chb.2018.07.039_bib52) 2014 Riff (10.1016/j.chb.2018.07.039_bib71) 2014 Harris (10.1016/j.chb.2018.07.039_bib26) 2013; 103 Berger (10.1016/j.chb.2018.07.039_bib3) 2014; 24 Shrout (10.1016/j.chb.2018.07.039_bib47) 1979; 86 Amabile (10.1016/j.chb.2018.07.039_bib1) 1983; 19 Kontos (10.1016/j.chb.2018.07.039_bib35) 2014; 16 McGraw (10.1016/j.chb.2018.07.039_bib39) 1996; 1 Witte (10.1016/j.chb.2018.07.039_bib58) 1992; 59 Boyd (10.1016/j.chb.2018.07.039_bib8) 2007; 13 Rogers (10.1016/j.chb.2018.07.039_bib46) 2003 Katz (10.1016/j.chb.2018.07.039_bib29) 1955 Berger (10.1016/j.chb.2018.07.039_bib5) 2012; 49 Nahon (10.1016/j.chb.2018.07.039_bib41) 2013 O'Keefe (10.1016/j.chb.2018.07.039_bib44) 2003; 13 Stieglitz (10.1016/j.chb.2018.07.039_bib48) 2013; 29 Knobloch (10.1016/j.chb.2018.07.039_bib34) 2003; 80 Watts (10.1016/j.chb.2018.07.039_bib56) 2007; 34 Centola (10.1016/j.chb.2018.07.039_bib12) 2010; 329 Onnela (10.1016/j.chb.2018.07.039_bib43) 2007; 104 Weng (10.1016/j.chb.2018.07.039_bib57) 2013; 3 Lazarus (10.1016/j.chb.2018.07.039_bib37) 1991 Berger (10.1016/j.chb.2018.07.039_bib4) 2013; 40 Vosoughi (10.1016/j.chb.2018.07.039_bib55) 2018; 359 Lou (10.1016/j.chb.2018.07.039_bib38) 2013 Sysomos (10.1016/j.chb.2018.07.039_bib50) 2010 John (10.1016/j.chb.2018.07.039_bib28) 2012; 15 Kissler (10.1016/j.chb.2018.07.039_bib32) 2007; 18 Ellison (10.1016/j.chb.2018.07.039_bib15) 2011; 13 |
| References_xml | – volume: 18 start-page: 396 year: 2015 end-page: 424 ident: bib11 article-title: Selection and transmission processes for information in the emerging media environment: Psychological motives and message characteristics publication-title: Media Psychology – volume: 18 start-page: 475 year: 2007 end-page: 480 ident: bib32 article-title: Buzzwords: Early cortical responses to emotional words during reading publication-title: Psychological Science – volume: 13 start-page: 873 year: 2011 end-page: 892 ident: bib15 article-title: Connection strategies: Social capital implications of Facebook-enabled communication practices publication-title: New Media & Society – volume: 103 start-page: 1700 year: 2013 end-page: 1707 ident: bib26 article-title: Social media adoption in local health departments nationwide publication-title: American Journal of Public Health – start-page: 34 year: 2011 end-page: 43 ident: bib25 article-title: Good friends, bad news - affect and virality in Twitter publication-title: Future information technology – volume: 86 start-page: 420 year: 1979 end-page: 428 ident: bib47 article-title: Intraclass correlations: Uses in assessing rater reliability publication-title: Psychological Bulletin – volume: 13 start-page: 210 year: 2007 end-page: 230 ident: bib8 article-title: Social network sites: Definition, history, and scholarship publication-title: Journal of Computer-mediated Communication – start-page: 505 year: 2014 end-page: 514 ident: bib52 article-title: Big questions for social media big data: Representativeness, validity and other methodological pitfalls publication-title: Proceedings of the 8 – volume: 31 start-page: 385 year: 2016 end-page: 399 ident: bib30 article-title: Information diffusion, Facebook clusters, and the simplicial model of social aggregation: A computational simulation of simplicial diffusers for community health interventions publication-title: Health Communication – volume: 24 start-page: 586 year: 2014 end-page: 607 ident: bib3 article-title: Word of mouth and interpersonal communication: A review and directions for future research publication-title: Journal of Consumer Psychology – year: 2010 ident: bib50 article-title: An in-depth report at Twitter's growth 2010, compared with 2009 – year: 1955 ident: bib29 article-title: Personal Influence. The part played by people in the flow of mass communications – year: 2003 ident: bib46 article-title: Diffusion of innovations – year: 1992 ident: bib9 article-title: Structural holes: The social structure of competition – volume: 2 start-page: 64 year: 1965 end-page: 90 ident: bib18 article-title: The structure of foreign news the presentation of the Congo, Cuba and Cyprus crises in four Norwegian newspapers publication-title: Journal of Peace Research – volume: 42 start-page: 547 year: 2015 end-page: 568 ident: bib33 article-title: Impacts of exemplification and efficacy as characteristics of an online weight-loss message on selective exposure and subsequent weight-loss behavior publication-title: Communication Research – year: 2014 ident: bib71 article-title: Analyzing media messages: Using quantitative content analysis in research – start-page: 519 year: 2012 end-page: 528 ident: bib2 article-title: The role of social networks in information diffusion publication-title: Proceedings of the 21st international conference on world wide web – volume: 13 start-page: 251 year: 2003 end-page: 274 ident: bib44 article-title: Message properties, mediating states, and manipulation checks: Claims, evidence, and data analysis in experimental persuasive message effects research publication-title: Communication Theory – volume: 29 start-page: 217 year: 2013 end-page: 248 ident: bib48 article-title: Emotions and information diffusion in social media – sentiment of microblogs and sharing behavior publication-title: Journal of Management Information Systems – volume: 32 start-page: 212 year: 2010 end-page: 220 ident: bib54 article-title: Bridging: Locating critical connectors in a network publication-title: Social Networks – year: 2010 ident: bib14 article-title: Networks, crowds, and markets: Reasoning about a highly connected world – volume: 5 start-page: 95 year: 2000 end-page: 110 ident: bib21 article-title: Emotional regulation in the workplace: A new way to conceptualize emotional labor publication-title: Journal of Occupational Health Psychology – volume: 19 start-page: 146 year: 1983 end-page: 156 ident: bib1 article-title: Brilliant but cruel: Perceptions of negative evaluators publication-title: Journal of Experimental Social Psychology – volume: 359 start-page: 1146 year: 2018 end-page: 1151 ident: bib55 article-title: The spread of true and false news online publication-title: Science – volume: 2008 start-page: P1008 year: 2008 ident: bib7 article-title: Fast unfolding of communities in large networks publication-title: Journal of Statistical Mechanics: Theory and Experiment – volume: 18 start-page: 165 year: 2007 end-page: 180 ident: bib17 article-title: Brokerage, boundary spanning, and leadership in open innovation communities publication-title: Organization Science – year: 1991 ident: bib37 article-title: Emotion and adaptation – volume: 65 start-page: 512 year: 2015 end-page: 534 ident: bib31 article-title: Attracting views and going viral: How message features and news-sharing channels affect health news diffusion: Attracting views and going viral publication-title: Journal of Communication – year: 2010 ident: bib42 article-title: Networks: An introduction – volume: 3 start-page: 2522 year: 2013 ident: bib57 article-title: Virality prediction and community structure in social networks publication-title: Scientific Reports – volume: 10 start-page: 30 year: 2010 ident: bib13 article-title: Measuring user influence in Twitter: The million follower fallacy publication-title: ICWSM – volume: 31 start-page: 998 year: 2016 end-page: 1007 ident: bib40 article-title: Propagation of information about preexposure prophylaxis (PrEP) for HIV prevention through Twitter publication-title: Health Communication – volume: 20 start-page: 351 year: 2011 end-page: 368 ident: bib6 article-title: Evaluating online labor markets for experimental research: Amazon.com's Mechanical Turk publication-title: Political Analysis – volume: 62 start-page: 406 year: 2011 end-page: 418 ident: bib51 article-title: Sentiment in Twitter events publication-title: Journal of the American Society for Information Science and Technology – volume: 32 start-page: 589 year: 2012 end-page: 608 ident: bib61 article-title: Information propagation in online social networks: A tie-strength perspective publication-title: Knowledge and Information Systems – volume: 1 start-page: 317 year: 1996 end-page: 342 ident: bib59 article-title: Predicting risk behaviors: Development and validation of a diagnostic scale publication-title: Journal of Health Communication – volume: 40 start-page: 567 year: 2013 end-page: 579 ident: bib4 article-title: Communication channels and word of mouth: How the medium shapes the message publication-title: Journal of Consumer Research – start-page: 825 year: 2013 end-page: 836 ident: bib38 article-title: Mining structural hole spanners through information diffusion in social networks publication-title: Proceedings of the 22nd international conference on world wide web – volume: 57 start-page: 943 year: 2013 end-page: 965 ident: bib20 article-title: Broadcasters and hidden influentials in online protest diffusion publication-title: American Behavioral Scientist – volume: 51 start-page: 382 year: 2015 end-page: 392 ident: bib16 article-title: Central nodes and surprise in content selection in social networks publication-title: Computers in Human Behavior – volume: 15 start-page: 167 year: 2012 end-page: 182 ident: bib28 article-title: Sharing and Web 2.0: The emergence of a keyword publication-title: New Media & Society – volume: 59 start-page: 329 year: 1992 end-page: 349 ident: bib58 article-title: Putting the fear back into fear appeals: The extended parallel process model publication-title: Communication Monographs – year: 2013 ident: bib41 article-title: Going viral – volume: 78 start-page: 1360 year: 1973 end-page: 1380 ident: bib22 article-title: The strength of weak ties publication-title: American Journal of Sociology – year: 1995 ident: bib53 article-title: Network models of the diffusion of innovations – volume: 329 start-page: 1194 year: 2010 end-page: 1197 ident: bib12 article-title: The spread of behavior in an online social network experiment publication-title: Science – start-page: 355 year: 2010 end-page: 358 ident: bib60 article-title: Predicting the speed, scale, and range of information diffusion in Twitter publication-title: Proceedings of the 4th international AAAI conference on weblogs and social media – volume: 49 start-page: 192 year: 2012 end-page: 205 ident: bib5 article-title: What makes online content viral? publication-title: Journal of Marketing Research – volume: 34 start-page: 441 year: 2007 end-page: 458 ident: bib56 article-title: Influentials, networks, and public opinion formation publication-title: Journal of Consumer Research – volume: 80 start-page: 91 year: 2003 end-page: 108 ident: bib34 article-title: Effects of salience dimensions of informational utility on selective exposure to online news publication-title: Journalism & Mass Communication Quarterly – volume: 1 start-page: 30 year: 1996 end-page: 46 ident: bib39 article-title: Forming inferences about some intraclass correlation coefficients publication-title: Psychological Methods – volume: 1 start-page: 60 year: 2009 end-page: 85 ident: bib45 article-title: Emotion elicits the social sharing of emotion: Theory and empirical review publication-title: Emotion Review – start-page: 177 year: 2010 end-page: 184 ident: bib49 article-title: Want to be retweeted? Large scale analytics on factors impacting retweet in Twitter network publication-title: Proceedings of the IEEE second international conference on social computing – volume: 104 start-page: 7332 year: 2007 end-page: 7336 ident: bib43 article-title: Structure and tie strengths in mobile communication networks publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 16 year: 2014 ident: bib35 article-title: Predictors of eHealth usage: Insights on the digital divide from the health information national Trends survey 2012 publication-title: Journal of Medical Internet Research – volume: 62 start-page: 180 year: 2016 end-page: 196 ident: bib19 article-title: The structural virality of online diffusion publication-title: Management Science – volume: 18 start-page: 38 year: 2004 end-page: 52 ident: bib27 article-title: Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? publication-title: Journal of Interactive Marketing – year: 2013 ident: bib10 article-title: Regression analysis of count data – volume: 85 start-page: 348 year: 2003 end-page: 362 ident: bib23 article-title: Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being publication-title: Journal of Personality and Social Psychology – volume: 103 start-page: 1700 year: 2013 ident: 10.1016/j.chb.2018.07.039_bib26 article-title: Social media adoption in local health departments nationwide publication-title: American Journal of Public Health doi: 10.2105/AJPH.2012.301166 – year: 2010 ident: 10.1016/j.chb.2018.07.039_bib14 – volume: 62 start-page: 406 year: 2011 ident: 10.1016/j.chb.2018.07.039_bib51 article-title: Sentiment in Twitter events publication-title: Journal of the American Society for Information Science and Technology doi: 10.1002/asi.21462 – volume: 15 start-page: 167 year: 2012 ident: 10.1016/j.chb.2018.07.039_bib28 article-title: Sharing and Web 2.0: The emergence of a keyword publication-title: New Media & Society doi: 10.1177/1461444812450684 – volume: 19 start-page: 146 year: 1983 ident: 10.1016/j.chb.2018.07.039_bib1 article-title: Brilliant but cruel: Perceptions of negative evaluators publication-title: Journal of Experimental Social Psychology doi: 10.1016/0022-1031(83)90034-3 – start-page: 825 year: 2013 ident: 10.1016/j.chb.2018.07.039_bib38 article-title: Mining structural hole spanners through information diffusion in social networks – volume: 18 start-page: 396 year: 2015 ident: 10.1016/j.chb.2018.07.039_bib11 article-title: Selection and transmission processes for information in the emerging media environment: Psychological motives and message characteristics publication-title: Media Psychology doi: 10.1080/15213269.2014.941112 – volume: 59 start-page: 329 year: 1992 ident: 10.1016/j.chb.2018.07.039_bib58 article-title: Putting the fear back into fear appeals: The extended parallel process model publication-title: Communication Monographs doi: 10.1080/03637759209376276 – volume: 2008 start-page: P1008 year: 2008 ident: 10.1016/j.chb.2018.07.039_bib7 article-title: Fast unfolding of communities in large networks publication-title: Journal of Statistical Mechanics: Theory and Experiment doi: 10.1088/1742-5468/2008/10/P10008 – volume: 32 start-page: 589 year: 2012 ident: 10.1016/j.chb.2018.07.039_bib61 article-title: Information propagation in online social networks: A tie-strength perspective publication-title: Knowledge and Information Systems doi: 10.1007/s10115-011-0445-x – year: 2013 ident: 10.1016/j.chb.2018.07.039_bib10 – volume: 31 start-page: 385 year: 2016 ident: 10.1016/j.chb.2018.07.039_bib30 article-title: Information diffusion, Facebook clusters, and the simplicial model of social aggregation: A computational simulation of simplicial diffusers for community health interventions publication-title: Health Communication doi: 10.1080/10410236.2014.960061 – start-page: 34 year: 2011 ident: 10.1016/j.chb.2018.07.039_bib25 article-title: Good friends, bad news - affect and virality in Twitter – start-page: 177 year: 2010 ident: 10.1016/j.chb.2018.07.039_bib49 article-title: Want to be retweeted? Large scale analytics on factors impacting retweet in Twitter network – volume: 40 start-page: 567 year: 2013 ident: 10.1016/j.chb.2018.07.039_bib4 article-title: Communication channels and word of mouth: How the medium shapes the message publication-title: Journal of Consumer Research doi: 10.1086/671345 – volume: 329 start-page: 1194 year: 2010 ident: 10.1016/j.chb.2018.07.039_bib12 article-title: The spread of behavior in an online social network experiment publication-title: Science doi: 10.1126/science.1185231 – volume: 13 start-page: 210 year: 2007 ident: 10.1016/j.chb.2018.07.039_bib8 article-title: Social network sites: Definition, history, and scholarship publication-title: Journal of Computer-mediated Communication doi: 10.1111/j.1083-6101.2007.00393.x – volume: 10 start-page: 30 issue: 10–17 year: 2010 ident: 10.1016/j.chb.2018.07.039_bib13 article-title: Measuring user influence in Twitter: The million follower fallacy publication-title: ICWSM – volume: 32 start-page: 212 year: 2010 ident: 10.1016/j.chb.2018.07.039_bib54 article-title: Bridging: Locating critical connectors in a network publication-title: Social Networks doi: 10.1016/j.socnet.2010.03.003 – volume: 80 start-page: 91 year: 2003 ident: 10.1016/j.chb.2018.07.039_bib34 article-title: Effects of salience dimensions of informational utility on selective exposure to online news publication-title: Journalism & Mass Communication Quarterly doi: 10.1177/107769900308000107 – volume: 13 start-page: 251 year: 2003 ident: 10.1016/j.chb.2018.07.039_bib44 article-title: Message properties, mediating states, and manipulation checks: Claims, evidence, and data analysis in experimental persuasive message effects research publication-title: Communication Theory doi: 10.1111/j.1468-2885.2003.tb00292.x – volume: 18 start-page: 475 issue: 6 year: 2007 ident: 10.1016/j.chb.2018.07.039_bib32 article-title: Buzzwords: Early cortical responses to emotional words during reading publication-title: Psychological Science doi: 10.1111/j.1467-9280.2007.01924.x – start-page: 505 year: 2014 ident: 10.1016/j.chb.2018.07.039_bib52 article-title: Big questions for social media big data: Representativeness, validity and other methodological pitfalls – year: 2014 ident: 10.1016/j.chb.2018.07.039_bib71 – volume: 13 start-page: 873 year: 2011 ident: 10.1016/j.chb.2018.07.039_bib15 article-title: Connection strategies: Social capital implications of Facebook-enabled communication practices publication-title: New Media & Society doi: 10.1177/1461444810385389 – volume: 359 start-page: 1146 year: 2018 ident: 10.1016/j.chb.2018.07.039_bib55 article-title: The spread of true and false news online publication-title: Science doi: 10.1126/science.aap9559 – volume: 65 start-page: 512 year: 2015 ident: 10.1016/j.chb.2018.07.039_bib31 article-title: Attracting views and going viral: How message features and news-sharing channels affect health news diffusion: Attracting views and going viral publication-title: Journal of Communication doi: 10.1111/jcom.12160 – volume: 5 start-page: 95 year: 2000 ident: 10.1016/j.chb.2018.07.039_bib21 article-title: Emotional regulation in the workplace: A new way to conceptualize emotional labor publication-title: Journal of Occupational Health Psychology doi: 10.1037/1076-8998.5.1.95 – year: 1995 ident: 10.1016/j.chb.2018.07.039_bib53 – volume: 86 start-page: 420 year: 1979 ident: 10.1016/j.chb.2018.07.039_bib47 article-title: Intraclass correlations: Uses in assessing rater reliability publication-title: Psychological Bulletin doi: 10.1037/0033-2909.86.2.420 – year: 2010 ident: 10.1016/j.chb.2018.07.039_bib50 – volume: 18 start-page: 165 year: 2007 ident: 10.1016/j.chb.2018.07.039_bib17 article-title: Brokerage, boundary spanning, and leadership in open innovation communities publication-title: Organization Science doi: 10.1287/orsc.1060.0242 – volume: 62 start-page: 180 year: 2016 ident: 10.1016/j.chb.2018.07.039_bib19 article-title: The structural virality of online diffusion publication-title: Management Science doi: 10.1287/mnsc.2015.2158 – volume: 2 start-page: 64 year: 1965 ident: 10.1016/j.chb.2018.07.039_bib18 article-title: The structure of foreign news the presentation of the Congo, Cuba and Cyprus crises in four Norwegian newspapers publication-title: Journal of Peace Research doi: 10.1177/002234336500200104 – volume: 20 start-page: 351 year: 2011 ident: 10.1016/j.chb.2018.07.039_bib6 article-title: Evaluating online labor markets for experimental research: Amazon.com's Mechanical Turk publication-title: Political Analysis doi: 10.1093/pan/mpr057 – volume: 29 start-page: 217 year: 2013 ident: 10.1016/j.chb.2018.07.039_bib48 article-title: Emotions and information diffusion in social media – sentiment of microblogs and sharing behavior publication-title: Journal of Management Information Systems doi: 10.2753/MIS0742-1222290408 – year: 1991 ident: 10.1016/j.chb.2018.07.039_bib37 – volume: 3 start-page: 2522 year: 2013 ident: 10.1016/j.chb.2018.07.039_bib57 article-title: Virality prediction and community structure in social networks publication-title: Scientific Reports doi: 10.1038/srep02522 – volume: 31 start-page: 998 year: 2016 ident: 10.1016/j.chb.2018.07.039_bib40 article-title: Propagation of information about preexposure prophylaxis (PrEP) for HIV prevention through Twitter publication-title: Health Communication doi: 10.1080/10410236.2015.1027033 – start-page: 355 year: 2010 ident: 10.1016/j.chb.2018.07.039_bib60 article-title: Predicting the speed, scale, and range of information diffusion in Twitter – volume: 49 start-page: 192 year: 2012 ident: 10.1016/j.chb.2018.07.039_bib5 article-title: What makes online content viral? publication-title: Journal of Marketing Research doi: 10.1509/jmr.10.0353 – volume: 34 start-page: 441 year: 2007 ident: 10.1016/j.chb.2018.07.039_bib56 article-title: Influentials, networks, and public opinion formation publication-title: Journal of Consumer Research doi: 10.1086/518527 – year: 1992 ident: 10.1016/j.chb.2018.07.039_bib9 – volume: 85 start-page: 348 year: 2003 ident: 10.1016/j.chb.2018.07.039_bib23 article-title: Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being publication-title: Journal of Personality and Social Psychology doi: 10.1037/0022-3514.85.2.348 – year: 1955 ident: 10.1016/j.chb.2018.07.039_bib29 – year: 2003 ident: 10.1016/j.chb.2018.07.039_bib46 – start-page: 519 year: 2012 ident: 10.1016/j.chb.2018.07.039_bib2 article-title: The role of social networks in information diffusion – volume: 51 start-page: 382 year: 2015 ident: 10.1016/j.chb.2018.07.039_bib16 article-title: Central nodes and surprise in content selection in social networks publication-title: Computers in Human Behavior doi: 10.1016/j.chb.2015.04.070 – volume: 42 start-page: 547 year: 2015 ident: 10.1016/j.chb.2018.07.039_bib33 article-title: Impacts of exemplification and efficacy as characteristics of an online weight-loss message on selective exposure and subsequent weight-loss behavior publication-title: Communication Research doi: 10.1177/0093650213478440 – volume: 16 year: 2014 ident: 10.1016/j.chb.2018.07.039_bib35 article-title: Predictors of eHealth usage: Insights on the digital divide from the health information national Trends survey 2012 publication-title: Journal of Medical Internet Research doi: 10.2196/jmir.3117 – volume: 24 start-page: 586 year: 2014 ident: 10.1016/j.chb.2018.07.039_bib3 article-title: Word of mouth and interpersonal communication: A review and directions for future research publication-title: Journal of Consumer Psychology doi: 10.1016/j.jcps.2014.05.002 – volume: 1 start-page: 60 year: 2009 ident: 10.1016/j.chb.2018.07.039_bib45 article-title: Emotion elicits the social sharing of emotion: Theory and empirical review publication-title: Emotion Review doi: 10.1177/1754073908097189 – year: 2010 ident: 10.1016/j.chb.2018.07.039_bib42 – volume: 1 start-page: 30 year: 1996 ident: 10.1016/j.chb.2018.07.039_bib39 article-title: Forming inferences about some intraclass correlation coefficients publication-title: Psychological Methods doi: 10.1037/1082-989X.1.1.30 – volume: 78 start-page: 1360 year: 1973 ident: 10.1016/j.chb.2018.07.039_bib22 article-title: The strength of weak ties publication-title: American Journal of Sociology doi: 10.1086/225469 – volume: 18 start-page: 38 year: 2004 ident: 10.1016/j.chb.2018.07.039_bib27 article-title: Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? publication-title: Journal of Interactive Marketing doi: 10.1002/dir.10073 – volume: 57 start-page: 943 year: 2013 ident: 10.1016/j.chb.2018.07.039_bib20 article-title: Broadcasters and hidden influentials in online protest diffusion publication-title: American Behavioral Scientist doi: 10.1177/0002764213479371 – year: 2013 ident: 10.1016/j.chb.2018.07.039_bib41 – volume: 1 start-page: 317 year: 1996 ident: 10.1016/j.chb.2018.07.039_bib59 article-title: Predicting risk behaviors: Development and validation of a diagnostic scale publication-title: Journal of Health Communication doi: 10.1080/108107396127988 – volume: 104 start-page: 7332 year: 2007 ident: 10.1016/j.chb.2018.07.039_bib43 article-title: Structure and tie strengths in mobile communication networks publication-title: Proceedings of the National Academy of Sciences of the United States of America doi: 10.1073/pnas.0610245104 |
| SSID | ssj0005506 |
| Score | 2.493455 |
| Snippet | Relying on diffusion of innovation theory, this study examines the impacts of perceived message features and network characteristics on size (i.e., the number... |
| SourceID | pubmedcentral proquest pubmed crossref elsevier |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 111 |
| SubjectTerms | Digital media Health Health informatics Health information Information diffusion Information dissemination Innovations Social media Social network Social networks Structural virality |
| Title | Diffusion size and structural virality: The effects of message and network features on spreading health information on twitter |
| URI | https://dx.doi.org/10.1016/j.chb.2018.07.039 https://www.ncbi.nlm.nih.gov/pubmed/32288177 https://www.proquest.com/docview/2132226368 https://www.proquest.com/docview/2390167397 https://pubmed.ncbi.nlm.nih.gov/PMC7127591 |
| Volume | 89 |
| WOSCitedRecordID | wos000449136900012&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1873-7692 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0005506 issn: 0747-5632 databaseCode: AIEXJ dateStart: 19941201 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LbxMxELZCyqEXHgVKoFRG4kS0aN-2uVVQBAhVSBSR2yr2etutyiZqktJy4P_wL5nxYzdJRQVIXKJobW-cnW_HY_vzN4Q8kyWTMhUxrmuIIC3hVZSRKgPMeR9xpcK8MiKuH9jBAR-NxMde76c_C3N-ypqGX1yI6X81NVwDY-PR2b8wd3tTuADfwejwCWaHzz8y_Ou6qha4Bjac1d_t5oAViTUCG8jpxcjbsy2W-BxfMRvKkW3RWHb4sNJG-NPsKcymZ5Zx7w5PDp3oqo05m-H8Wz33ZF-vfeByRhjSrU0H6HUBWktrxwmGG8tJ56nt1S-67tYWGhvyNkfBgR9wkUpUL0zNxeVieQkj4mt0kPZsTUdkmhklbRZkuVv91NY9c5YELBcr_tumIHIO2LtuO5ZH5qDd1WHCrlicvFDHEtl93Oi3WlGlNfXtT9gN7AW4PhjsMT_yRswywftkY-_d_uh9xyfKTCLXttt-C92QCdd-6HdB0NVJzjpXdyn4ObxDbrlZC92zaLtLerrZIre9dakbILbIZjueXt4jP1okUkQiBVzRDonUI_ElBRxSh0M6qajDoanvcEg9DinezOOQWhzSJRxiucPhffL5zf7hq7eBS_cRqJSJeVBKeK4CwqVQcQETFy3KPFGZhjkAuA8WVjzSaiwhxsVZQZJnY51JVqY6TqSUKkoekH4zafRDQpO4TCqZjUPJdJrKWEZhOE4yVYpMRFUSDkjon3-hnBY-pmQ5LTzp8aQAkxVosiJkBZhsQJ63TaZWCOa6yqk3auEiWRuhFoDA65rteAAUzqPMithshuZJzgfkaVsMgwDu7I0bPVlAHVy5zBnMLQZk2-Kl7SS05jxiUMJWkNRWQIH51ZKmPjZC8wyzP4jo0b_9m8dks3vZd0gfAKafkJvqfF7PznbJDTbiu-4l-gUuK_pp |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Diffusion+size+and+structural+virality%3A+The+effects+of+message+and+network+features+on+spreading+health+information+on+twitter&rft.jtitle=Computers+in+human+behavior&rft.au=Meng%2C+Jingbo&rft.au=Peng%2C+Wei&rft.au=Tan%2C+Pang-Ning&rft.au=Liu%2C+Wuyu&rft.date=2018-12-01&rft.pub=Elsevier+Ltd&rft.issn=0747-5632&rft.eissn=1873-7692&rft.volume=89&rft.spage=111&rft.epage=120&rft_id=info:doi/10.1016%2Fj.chb.2018.07.039&rft.externalDocID=S0747563218303613 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0747-5632&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0747-5632&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0747-5632&client=summon |