专业事实核查机构在社交媒体中的“点击诱饵”及其传播效果研究Fact-Checkers' Usage of Clickbait Element on Social Media and Its Effects on User Engagement
张昕之,傅晓艺
摘要(Abstract):
本研究考察了事实核查机构使用“点击诱饵元素”的现状,并对其传播效果进行评估。本研究通过人工标注样本以训练机器学习模型的方法,分析了12家美国专业事实核查机构过去两年间在其推特账号上发布的24670条用于推广核查报告的推文。研究发现,五分之一的推文包含点击诱饵元素。对于有影响的事实核查机构而言,当其在核查时政和公共卫生议题时,点击诱饵元素对推文的传播效果有负面影响。本研究讨论了该结果对理论、方法和网络内容管理实践层面的启示。
关键词(KeyWords): 点击诱饵;事实核查;社交媒体推广;用户参与;启发式系统模型;语言特征
基金项目(Foundation): 香港研究资助局“优配研究金”(项目批准号:12602420);; 香港浸会大学“传播媒体文化研究资助计划”的阶段性成果~~
作者(Author): 张昕之,傅晓艺
DOI: 10.16602/j.gjms.20220027
参考文献(References):
- Agrawal,A.(2016).Clickbait detection using deep learning.In 2016 2nd International Conference on Next Generation Computing Technologies (NGCT) (pp.268-272).Dehradun,India:IEEE.doi:10.1109/NGCT.2016.7877426.
- Barabási,A.L.& Albert,R.A.(1999).Emergence of scaling in random networks.Science,286(5439),509-512.doi:10.1126/science.286.5439.509.
- Bartholomé,G.,Lecheler,S.& de Vreese,C.(2018).Towards A Typology of Conflict Frames:Substantiveness and interventionism in political conflict news.Journalism Studies,19(12),1689-1711.doi:10.1080/1461670X.2017.1299033.
- Bates,D.M.(2010).lme4:Mixed-effects modeling with R.Retrieved from:http://lme4.r-forge.r-project.org/book/front.pdf.
- Blom,J.N.& Hansen,K.R.(2015).Click bait:Forward-reference as lure in online news headlines.Journal of Pragmatics,76,87-100.doi:10.1016/j.pragma.2014.11.010.
- Cao,R.M.,Wang,X.W.,Xu,X.K.& Zhou,J.L.(2021).Multiple bursts of highly retweeted articles on social media.Scientometrics,126(6),5165-5179.doi:10.1007/s11192-021-03970-7.
- Chaiken,S.(1980).Heuristic versus systematic information processing and the use of source versus message cues in persuasion.Journal of Personality and Social Psychology,39(5),752-766.doi:10.1037/0022-3514.39.5.752.
- Chen,S.,& Chaiken,S.(1999).The heuristic-systematic model in its broader context.In S.Chaiken & Y.Trope (Eds.),Dual-process theories in social and cognitive psychology (pp.73-96).New York:Guilford.
- Chen,Y.M.,Conroy,N.J.& Rubin,V.L.(2015).Misleading Online Content:Recognizing Clickbait as “False News”.In Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection (pp.15-19).Seattle,Washington,USA:ACM.doi:10.1145/2823465.2823467.
- Coddington,M.(2019).Clickbait,analytics,and gut feelings:How aggregators understand their audiences.In Aggregating the News (pp.129-157).New York:Columbia University Press.
- Devlin,J.,Chang,M.W.,Lee,K.& Toutanova,K.(2019).BERT:Pre-training of deep bidirectional transformers for language understanding.In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies,Volume 1 (Long and Short Papers) (pp.4171-4186).Minneapolis,Minnesota:Association for Computational Linguistics.doi:10.18653/v1/N19-1423.
- Engelmann,I.,Kloss,A.,Neuberger,C.& Brockmann,T.(2019).Visibility through information sharing:The role of tweet authors and communication styles in retweeting political information on twitter.International Journal of Communication,13,3569-3588.
- Finucane,M.L.,Alhakami,A.,Slovic,P.& Johnson,S.M.(2000).The affect heuristic in judgments of risks and benefits.Journal of Behavioral Decision Making,13(1),1-17.doi:10.1002/(SICI)1099-0771(200001/03)13:1<1::AID-BDM333>3.0.CO;2-S.
- Grün,B.& Hornik,K.(2011).topicmodels:An R package for fitting topic models.Journal of Statistical Software,40(13),1-30.doi:10.18637/jss.v040.i13.
- Holcomb,J.,Gross,K.& Mitchell,A.(November 14,2011).How Mainstream Media Outlets Use Twitter.Pew Research Center's Journalism Project.Retrieved from https://www.pewresearch.org/journalism/2011/11/14/how-mainstream-media-outlets-use-twitter/
- Humprecht,E.(2020).How do they debunk “Fake News”?A cross-national comparison of transparency in fact checks.Digital Journalism,8(3),310-327.doi:10.1080/21670811.2019.1691031.
- Karthikeyan,K.,Wang,Z.H.,Mayhew,S.& Roth,D.(2020).Cross-lingual ability of multilingual BERT:An empirical study.arXiv preprint arXiv:1912.07840.
- Knobloch-Westerwick,S.,Sharma,N.,Hansen,D.L.& Alter,S.(2005).Impact of popularity indications on readers' selective exposure to online news.Journal of Broadcasting & Electronic Media,49(3),296-313.doi:10.1207/s15506878jobem4903_3.
- Kuiken,J.,Schuth,A.,Spitters,M.& Marx,M.(2017).Effective headlines of newspaper articles in a digital environment.Digital Journalism,5(10),1300-1314.doi:10.1080/21670811.2017.1279978.
- Lewis,S.C.& Molyneux,L.(2018).A decade of research on social media and journalism:Assumptions,blind spots,and a way forward.Media and Communication,6(4),11-23.doi:10.17645/mac.v6i4.1562.
- Lischka,J.A.(2021).Logics in social media news making:How social media editors marry the Facebook logic with journalistic standards.Journalism,22(2),430-447.doi:10.1177/1464884918788472.
- Lischka,J.A.& Garz,M.(2021).Clickbait news and algorithmic curation:A game theory framework of the relation between journalism,users,and platforms.New Media & Society,14614448211027174.doi:10.1177/14614448211027174.
- Liu,Y.H.,Ott,M.,Goyal,N.,Du,J.F.,Joshi,M.,Chen,D.Q.,Levy,O.,Lewis,M.,Zettlemoyer,L.& Stoyanov,V.(2019).RoBERTa:A robustly optimized BERT pretraining approach.arXiv:1907.11692.
- Loosen,W.(2019).Community engagement and social media editors.In The International Encyclopedia of Journalism Studies (pp.1-6).Hoboken,NJ:John Wiley & Sons.doi:10.1002/9781118841570.iejs0251.
- Lough,K.,Molyneux,L.& Holton,A.E.(2018).A clearer picture:Journalistic identity practices in words and images on Twitter.Journalism Practice,12(10),1277-1291.doi:10.1080/17512786.2017.1389292.
- Meier,F.,Elsweiler,D.& Wilson,M.L.(2014).More than liking and bookmarking?towards understanding twitter favouriting behaviour.Proceedings of the International AAAI Conference on Web and Social Media,8(1):346-355.
- Molyneux,L.& Holton,A.(2015).Branding (health) journalism.Digital Journalism,3(2),225-242.doi:10.1080/21670811.2014.906927.
- Müller,M.,Salathé,M.& Kummervold,P.E.(2020).COVID-Twitter-BERT:A natural language processing model to analyse COVID-19 content on twitter.arXiv:2005.07503.
- Munger,K.(2020).All the news that's fit to click:The economics of clickbait media.Political Communication,37(3),376-397.doi:10.1080/10584609.2019.1687626.
- Neilson,T.& Gibson,T.A.(2021).Social media editors and the audience funnel:Tensions between commercial pressures and professional norms in the data-saturated newsroom.Digital Journalism,1-23.doi:10.1080/21670811.2021.2004553.
- Nelson,J.L.(2021).Imagined audiences:How journalists perceive and pursue the public.Oxford:Oxford University Press.doi:10.1093/oso/9780197542590.001.0001.
- Opperhuizen,A.E.,Schouten,K.& Klijn,E.H.(2019).Framing a conflict! how media report on earthquake risks caused by gas drilling.Journalism Studies,20(5),714-734.doi:10.1080/1461670X.2017.1418672.
- Park,C.S.& Kaye,B.K.(2019).Expanding visibility on twitter:Author and message characteristics and retweeting.Social Media+Society,5(2),205630511983459.doi:10.1177/2056305119834595.
- Rajapaksha,P.,Farahbakhsh,R.& Crespi,N.(2021).BERT,XLNet or RoBERTa:The best transfer learning model to detect clickbaits.IEEE Access,9,154704-154716.doi:10.1109/ACCESS.2021.3128742.
- Rehman,N.U.,Weiler,A.& Scholl,M.H.(2013).OLAPing social media:The case of Twitter.In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp.1139-1146).Niagara,Ontario,Canada:ACM.doi:10.1145/2492517.2500273.
- Schudson,M.(2001).The objectivity norm in American journalism.Journalism,2(2),149-170.doi:10.1177/146488490100200201.
- Suh,B.,Hong,L.C.,Pirolli,P.& Chi,E.H.(2010).Want to be retweeted?Large scale analytics on factors impacting retweet in twitter network.In 2010 IEEE Second International Conference on Social Computing (pp.177-184).Minneapolis,MN,USA:IEEE.doi:10.1109/SocialCom.2010.33.
- Usher,N.,Holcomb,J.& Littman,J.(2018).Twitter makes it worse:Political journalists,gendered echo chambers,and the amplification of gender bias.The International Journal of Press/Politics,23(3),324-344.doi:10.1177/1940161218781254.
- Van Dijck,J.,Poell,T.& De Waal,M.(2018).The platform society:Public values in a connective world.Oxford:Oxford University Press.
- Walter,N.& Murphy,S.T.(2018).How to unring the bell:A meta-analytic approach to correction of misinformation.Communication Monographs,85(3),423-441.doi:10.1080/03637751.2018.1467564.
- Walter,N.,Cohen,J.,Holbert,R.L.& Morag,Y.(2020).Fact-checking:A meta-analysis of what works and for whom.Political Communication,37(3),350-375.doi:10.1080/10584609.2019.1668894.
- Weiss,R.(2017).Nip misinformation in the bud.Science,358(6362),427.doi:10.1126/science.aar2683.
- Zhang,L.,Peng,T.Q.,Zhang,Y.P.,Wang,X.H.& Zhu,J.J.H.(2014).Content or context:Which matters more in information processing on micro-blogging sites.Computers in Human Behavior,31,242-249.doi:10.1016/j.chb.2013.10.031.
- Zhang,X.& Li,W.(2020).From social media with news:Journalists' social media use for sourcing and verification.Journalism Practice,14(10),1193-1210.doi:10.1080/17512786.2019.1689372.
- Zhang,X.& Zhu,R.(2021).How source-level and message-level factors influence journalists' social media visibility during a public health crisis.Journalism.doi:10.1177/14648849211023153.
- Zhang,Y.N.,Shah,D.,Foley,J.,Abhishek,A.,Lukito,J.,Suk,J.,Kim,S.J.,Sun,Z.K.,Pevehouse,J.& Garlough,C.(2019).Whose lives matter?Mass shootings and social media discourses of sympathy and policy,2012—2014.Journal of Computer-Mediated Communication,24(4),182-202.doi:10.1093/jcmc/zmz009.
- Zhao,X.Y.& Zhan,M.M.(2019).Appealing to the heart:How social media communication characteristics affect users' liking behavior during the Manchester terrorist attack.International Journal of Communication,13,3826-3847.
- ① 关于此库的算法和运用细则,请参见 Grün & Hornik(2011)。