skip to main content
research-article
Public Access

Transparency, Trust, and Security Needs for the Design of Digital News Authentication Tools

Published:16 April 2023Publication History
Skip Abstract Section

Abstract

Americans' trust in news is declining, and authenticity and transparency challenges in digital publishing contexts pose unique challenges to the ability to effectively gratify their information-seeking needs via online media. Cryptographic technologies and web-based provenance indicators have the potential to enhance the trustworthiness and transparency of digital communication, but better understandings of news consumers practices and needs are required to develop practical tools. Through a representative online survey of 400 digital news consumers and 19 follow-up interviews, we investigate how users authenticate and assign trust to news content, and identify specific needs pertaining to news transparency and authentication that could be met by digital news authentication tools. While many users currently rely on political ideology to assess news trustworthiness, we find that users of all political orientations see value in independent provenance and authentication tools for digital news.

References

  1. Devdatta Akhawe and Adrienne Porter Felt. 2013. Alice inWarningland: A Large-Scale Field Study of Browser Security Warning Effectiveness. In 22nd USENIX Security Symposium (USENIX Security 13). USENIX Association, Washington, D.C., 257--272. https://www.usenix.org/conference/usenixsecurity13/technical-sessions/presentation/akhaweGoogle ScholarGoogle Scholar
  2. Mustafa Al-Bassam and Sarah Meiklejohn. 2018. Contour: A Practical System for Binary Transparency. DPM/CBT@ESORICS 11025 (2018), 94--110.Google ScholarGoogle Scholar
  3. Hazim Almuhimedi, Adrienne Porter Felt, RobertW. Reeder, and Sunny Consolvo. 2014. Your Reputation Precedes You: History, Reputation, and the Chrome Malware Warning. In 10th Symposium On Usable Privacy and Security (SOUPS 2014). USENIX Association, Menlo Park, CA, 113--128. https://www.usenix.org/conference/soups2014/proceedings/ presentation/almuhimediGoogle ScholarGoogle Scholar
  4. Michelle A. Amazeen, Chris J. Vargo, and Toby Hopp. 2019. Reinforcing attitudes in a gatewatching news era: Individual-level antecedents to sharing fact-checks on social media. Communication Monographs 86, 1 (Jan 2019), 112--132. https://doi.org/10.1080/03637751.2018.1521984Google ScholarGoogle ScholarCross RefCross Ref
  5. Bernard Berelson. 1949. What 'missing the newspaper' means. In Communications Research 1948--1949, Paul F. Lazerfield and Frank N. Stanton (Eds.). Harper and Brother, New York, NY, Chapter 1, 111--129.Google ScholarGoogle Scholar
  6. MD MOMEN BHUIYAN, Hayden Whitley, Michael Horning, Sang Won Lee, and Tanushree Mitra. 2021. Designing Transparency Cues in Online News Platforms to Promote Trust: Journalists' & Consumers' Perspectives. Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 395 (oct 2021), 31 pages. https://doi.org/10.1145/3479539Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Virginia Braun, Victoria Clarke, Nikki Hayfield, and Gareth Terry. 2018. Thematic Analysis. Springer, Singapore. 1--18 pages. https://doi.org/10.1007/978--981--10--2779--6_103--1Google ScholarGoogle ScholarCross RefCross Ref
  8. Carrie Brown-Smith. 2017. Transparency Finally Takes Off. https://www.niemanlab.org/2017/12/transparencyfinally- takes-off/Google ScholarGoogle Scholar
  9. U.S. Census Bureau. 2021. Population by Race in the United States, 2019 American Community Survey 1-Year Estimates. https://data.census.gov/cedsci/vizwidget?g=0100000US&infoSection=Race&type=chart&chartType=barGoogle ScholarGoogle Scholar
  10. Pew Research Center. 2016. The Modern News Consumer. https://www.journalism.org/2016/07/07/the-modernnews- consumer/Google ScholarGoogle Scholar
  11. Pew Research Center. 2020. Americans See Skepticism of News Media as Healthy, Say Public Trust in the Institution Can Improve. https://www.journalism.org/2020/08/31/americans-see-skepticism-of-news-media-as-healthy-saypublic- trust-in-the-institution-can-improve/Google ScholarGoogle Scholar
  12. Pew Research Center. 2020. Measuring News Consumption in a Digital Era. https://www.journalism.org/2020/12/08/ measuring-news-consumption-in-a-digital-era/Google ScholarGoogle Scholar
  13. Nick Charalambides. 2021. We recently went viral on TikTok - here's what we learned. https://blog.prolific.co/werecently- went-viral-on-tiktok-heres-what-we-learned/Google ScholarGoogle Scholar
  14. Melissa Chase and Sarah Meiklejohn. 2016. Transparency Overlays and Applications. In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security. 168--179.Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Weikeng Chen, Alessandro Chiesa, Emma Dauterman, and Nicholas P. Ward. 2020. Reducing Participation Costs via Incremental Verification for Ledger Systems. IACR Cryptol. ePrint Arch. 2020 (2020), 1522.Google ScholarGoogle Scholar
  16. Arvind Diddi and Robert LaRose. 2006. Getting Hooked on News: Uses and Gratifications and the Formation of News Habits Among College Students in an Internet Environment. Journal of Broadcasting & Electronic Media 50, 2 (Jun 2006), 193--210. https://doi.org/10.1207/s15506878jobem5002_2Google ScholarGoogle ScholarCross RefCross Ref
  17. Milan Dordevic, Pardis Pourghomi, and Fadi Safieddine. 2020. Identifying Fake News from the Variables that Governs the Spread of Fake News.. In 2020 15th International Workshop on Semantic and Social Media Adaptation and Personalization (SMA. IEEE, Zakynthos, Greece, 1--6.Google ScholarGoogle ScholarCross RefCross Ref
  18. Serge Egelman, Lorrie Cranor, and Jason Hong. 2008. You've been warned: an empirical study of the effectiveness of web browser phishing warnings. , 1065--1074 pages. https://doi.org/10.1145/1357054.1357219Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Jane Elizabeth. 2021. Journalism managers are burned out. Is it time for a work redesign? American Press Institute (2021). https://www.americanpressinstitute.org/publications/articles/journalism-managers-are-burned-out-is-ittime- for-a-work-redesign/single-page/Google ScholarGoogle Scholar
  20. Diego Esteves, Aniketh Janardhan Reddy, Piyush Chawla, and Jens Lehmann. 2018. Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on theWeb. In Proceedings of the First Workshop on Fact Extraction and VERification (FEVER). Association for Computational Linguistics, Brussels, Belgium, 50--59. https://doi.org/10.18653/v1/W18- 5508Google ScholarGoogle ScholarCross RefCross Ref
  21. Sascha Fahl, Sergej Dechand, Henning Perl, Felix Fischer, Jaromir Smrcek, and Matthew Smith. 2014. Hey, NSA: Stay Away from my Market! Future Proofing App Markets against Powerful Attackers. In Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, Scottsdale, AZ, USA, November 3--7, 2014, Gail-Joon Ahn, Moti Yung, and Ninghui Li (Eds.). ACM, Scottsdale, AZ, USA, 1143--1155. https://doi.org/10.1145/2660267.2660311Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Adrienne Felt, Alex Ainslie, Robert Reeder, Sunny Consolvo, Somas Thyagaraja, Alan Bettes, Helen Harris, and Jeff Grimes. 2015. Improving SSL Warnings: Comprehension and Adherence. , 2893--2902 pages. https://doi.org/10.1145/ 2702123.2702442Google ScholarGoogle Scholar
  23. Adrienne Porter Felt, RobertW. Reeder, Alex Ainslie, Helen Harris, MaxWalker, Christopher Thompson, Mustafa Embre Acer, Elisabeth Morant, and Sunny Consolvo. 2016. Rethinking Connection Security Indicators. In Twelfth Symposium on Usable Privacy and Security (SOUPS 2016). USENIX Association, Denver, CO, 1--14. https://www. usenix.org/conference/soups2016/technical-sessions/presentation/porter-feltGoogle ScholarGoogle Scholar
  24. Teri Finneman and Ryan J. Thomas. 2018. A family of falsehoods: Deception, media hoaxes and fake news. Newspaper Research Journal 39, 3 (2018), 350--361. https://doi.org/10.1177/0739532918796228 arXiv:https://doi.org/10.1177/0739532918796228Google ScholarGoogle ScholarCross RefCross Ref
  25. B. Fogg. 2003. Prominence-interpretation theory: explaining how people assess credibility online. , 722--723 pages. https://doi.org/10.1145/765891.765951Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Knight Foundation and Gallup. 2020. American Views 2020: Trust, Media and Democracy. https://knightfoundation. org/reports/american-views-2020-trust-media-and-democracy/Google ScholarGoogle Scholar
  27. The Knight Foundation. 2018. Indicators of News Media Trust. https://knightfoundation.org/reports/indicators-ofnews- media-trust/Google ScholarGoogle Scholar
  28. Conor Gaffey. 2017. Fake news stories about the Las Vegas shooting, debunked. http://www.newsweek.com/lasvegas- shooting-fake-news-stephen-paddock-675468Google ScholarGoogle Scholar
  29. GALLUP. 2020. U.S. Conservatism Down Since Start of 2020. https://news.gallup.com/poll/316094/conservatismdown- start-2020.aspxGoogle ScholarGoogle Scholar
  30. GALLUP. 2021. Americans' Political Ideology Held Steady in 2020. https://news.gallup.com/poll/328367/americanspolitical- ideology-held-steady-2020.aspxGoogle ScholarGoogle Scholar
  31. Joey F. George, Gabriel Giordano, and Patti A. Tilley. 2016. Website credibility and deceiver credibility: Expanding Prominence-Interpretation Theory. Computers in Human Behavior 54 (2016), 83--93. https://doi.org/10.1016/j.chb. 2015.07.065 ID: 271802.Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Clark F. Greer and Douglas A. Ferguson. 2011. Following Local Television News Personalities on Twitter: A Uses and Gratifications Approach to Social Networking. Electronic News 5, 3 (Sep 2011), 145--157. https://doi.org/10.1177/ 1931243111420405Google ScholarGoogle ScholarCross RefCross Ref
  33. Philippe Grosjean and Frederic Ibanez. 2018. pastecs: Package for Analysis of Space-Time Ecological Series. Philippe Grosjean. https://CRAN.R-project.org/package=pastecs R package version 1.3.21.Google ScholarGoogle Scholar
  34. Gary; Haridakis Hanson. 2008. YouTube Users Watching and Sharing the News: A Uses and Gratifications Approach. Journal of Electronic Publishing 11, 3 (2008). https://doi.org/10.3998/3336451.0011.305Google ScholarGoogle ScholarCross RefCross Ref
  35. Alfred Hermida, Fred Fletcher, Darryl Korell, and Donna Logan. 2012. SHARE, LIKE, RECOMMEND. null 13, 5--6 (2012), 815--824. https://doi.org/10.1080/1461670X.2012.664430 doi: 10.1080/1461670X.2012.664430.Google ScholarGoogle ScholarCross RefCross Ref
  36. Lindsay Holmwood. 2011. An Automated Approach to Fact Checking User-Generated Content for Journalists. Master's thesis. Södertörn University, School of Communication, Media and it.Google ScholarGoogle Scholar
  37. Yasmin Ibrahim, Fadi Safieddine, and Pardis Pourghomi. 2021. Attitudes to fake news verification: Youth orientations to ?right click'authenticate. Journal of Applied Journalism & Media Studies (In Press) (2021).Google ScholarGoogle Scholar
  38. Nigel A. Jackson and Darren G. Lilleker. 2007. Seeking unmediated political information in a political environment: The uses and gratifications of political parties' e-newsletters. Information, Communication & Society 10, 2 (Apr 2007), 242--264. https://doi.org/10.1080/13691180701307495Google ScholarGoogle ScholarCross RefCross Ref
  39. Bente Kalsnes and Arne H. Krumsvik. 2019. Building trust: media executives' perceptions of readers' trust. Journal of Media Business Studies 16, 4 (2019), 295--306. https://doi.org/10.1080/16522354.2019.1640534Google ScholarGoogle ScholarCross RefCross Ref
  40. Mayur Karnik, Ian Oakley, Jayant Venkatanathan, Tasos Spiliotopoulos, and Valentina Nisi. 2013. Uses & gratifications of a Facebook media sharing group. In Proceedings of the 2013 conference on computer supported cooperative work. CSCW, San Antonio, Texas, 821--826. https://doi.org/10.1145/2441776.2441868Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Elihu Katz. 1974. Utilization of mass communication by the individual. The uses of mass communications: Current perspectives on gratifications research 3 (1974), 19--32.Google ScholarGoogle Scholar
  42. Ian Kelk, Benjamin Basseri, Wee Lee, Richard Qiu, and Chris Tanner. 2022. Automatic Fake News Detection: Are current models ?fact-checking" or?gut-checking"?. In Proceedings of the Fifth Fact Extraction and VERificationWorkshop (FEVER). Association for Computational Linguistics, Dublin, Ireland, 29--36. https://doi.org/10.18653/v1/2022.fever-1.4Google ScholarGoogle ScholarCross RefCross Ref
  43. Vincentius Kevin, Birte Högden, Claudia Schwenger, Ali ?ahan, Neelu Madan, Piush Aggarwal, Anusha Bangaru, Farid Muradov, and Ahmet Aker. 2018. Information Nutrition Labels: A Plugin for Online News Evaluation. In Proceedings of the First Workshop on Fact Extraction and VERification (FEVER). Association for Computational Linguistics, Brussels, Belgium, 28--33. https://doi.org/10.18653/v1/W18--5505Google ScholarGoogle ScholarCross RefCross Ref
  44. Ji won Kim. 2014. Scan and click: The uses and gratifications of social recommendation systems. Computers in Human Behavior 33 (Apr 2014), 184--191. https://doi.org/10.1016/j.chb.2014.01.028Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Mustafa Koc and Esra Barut. 2016. Development and validation of New Media Literacy Scale (NMLS) for university students. Computers in Human Behavior 63 (2016), 834--843. https://doi.org/10.1016/j.chb.2016.06.035Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Ben Laurie. 2014. Certificate transparency. Commun. ACM 57, 10 (2014), 40--46.Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. Ben Laurie, Adam Langley, and Emilia Käsper. 2013. Certificate Transparency. RFC 6962 (2013), 1--27.Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. David M. J. Lazer, Matthew A. Baum, Yochai Benkler, Adam J. Berinsky, Kelly M. Greenhill, Filippo Menczer, Miriam J. Metzger, Brendan Nyhan, Gordon Pennycook, David Rothschild, Michael Schudson, Steven A. Sloman, Cass R. Sunstein, Emily A. Thorson, Duncan J. Watts, and Jonathan L. Zittrain. 2018. The science of fake news. Science 359, 6380 (2018), 1094--1096. https://doi.org/10.1126/science.aao2998 arXiv:https://www.science.org/doi/pdf/10.1126/science.aao2998Google ScholarGoogle ScholarCross RefCross Ref
  49. Angela M Lee. 2013. News audiences revisited: Theorizing the link between audience motivations and news consumption. Journal of Broadcasting & Electronic Media 57, 3 (2013), 300--317.Google ScholarGoogle ScholarCross RefCross Ref
  50. Chei Sian Lee and Long Ma. 2012. News sharing in social media: The effect of gratifications and prior experience. Computers in Human Behavior 28, 2 (Mar 2012), 331--339. https://doi.org/10.1016/j.chb.2011.10.002Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. Walter Lippmann. 1920. Liberty and the news. Harcourt, Brace and Howe, 1920, New York (State).Google ScholarGoogle Scholar
  52. Walter Lippmann. 1922. Public opinion. Free Press, New York.Google ScholarGoogle Scholar
  53. Long Ma, Chei Sian Lee, and Dion Hoe-Lian Goh. 2011. That's news to me: the influence of perceived gratifications and personal experience on news sharing in social media. In Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries (JCDL '11). Association for Computing Machinery, Ottawa, Ontario, Canada, 141--144. https://doi.org/10.1145/1998076.1998103Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. Sarah Meiklejohn, Pavel Kalinnikov, Cindy S. Lin, Martin Hutchinson, Gary Belvin, Mariana Raykova, and Al Cutter. 2020. Think Global, Act Local: Gossip and Client Audits in Verifiable Data Structures. CoRR abs/2011.04551 (2020), 20 pages.Google ScholarGoogle Scholar
  55. Marcela S. Melara, Aaron Blankstein, Joseph Bonneau, Edward W. Felten, and Michael J. Freedman. 2015. CONIKS: Bringing Key Transparency to End Users. In USENIX Security Symposium. USENIX Association, Washington, D.C., 383--398.Google ScholarGoogle Scholar
  56. Eugenia Mitchelstein and Pablo J. Boczkowski. 2010. Online news consumption research: An assessment of past work and an agenda for the future. New Media & Society 12, 7 (Nov 2010), 1085--1102. https://doi.org/10.1177/ 1461444809350193Google ScholarGoogle ScholarCross RefCross Ref
  57. David G Rand Mohsen Mosleh, Gordon Pennycook. 2020. Self-reported willingness to share political news articles in online surveys correlates with actual sharing on Twitter. PLOS ONE (2020). https://doi.org/10.1371/journal.pone. 0228882Google ScholarGoogle ScholarCross RefCross Ref
  58. Niv Mor and Zvi Reich. 2018. From "Trust Me" to ?Show Me" Journalism. Journalism Practice 12, 9 (2018), 1091--1108. https://doi.org/10.1080/17512786.2017.1376593 arXiv:https://doi.org/10.1080/17512786.2017.1376593Google ScholarGoogle ScholarCross RefCross Ref
  59. Rachel E. Moran. 2020. Subscribing to Transparency: Trust-Building Within Virtual Newsrooms on Slack. Journalism Practice 15, 10 (2020), 1--17. https://doi.org/10.1080/17512786.2020.1778507 doi: 10.1080/17512786.2020.1778507.Google ScholarGoogle ScholarCross RefCross Ref
  60. Yioryos Nardis. 2015. News, Trust in the European Parliament, and EP Election Voting: Moderated-Mediation Model Investigating Voting in Established and New Member States. The international journal of press/politics 20, 1 (2015), 45--66. https://doi.org/10.1177/1940161214556710Google ScholarGoogle ScholarCross RefCross Ref
  61. Elmie Nekmat. 2020. Nudge Effect of Fact-Check Alerts: Source Influence and Media Skepticism on Sharing of News Misinformation in Social Media. Social media society 6, 1 (2020), 205630511989732. https://doi.org/10.1177/ 2056305119897322Google ScholarGoogle Scholar
  62. Nic Newman, Richard Fletcher, Simge And? Anne Schulz, Craig T. Robertson, and Rasmus Kleis Nielsen. 2021. Digital News Report. Reuters Institute 10 (2021), 163 pages. https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2021Google ScholarGoogle Scholar
  63. Yu-Leung Ng and Xinshu Zhao. 2020. The Human Alarm System for Sensational News, Online News Headlines, and Associated Generic Digital Footprints: A Uses and Gratifications Approach. Communication Research 47, 2 (Mar 2020), 251--275. https://doi.org/10.1177/0093650218793739Google ScholarGoogle ScholarCross RefCross Ref
  64. Kirill Nikitin, Eleftherios Kokoris-Kogias, Philipp Jovanovic, Nicolas Gailly, Linus Gasser, Ismail Khoffi, Justin Cappos, and Bryan Ford. 2017. CHAINIAC: Proactive Software-Update Transparency via Collectively Signed Skipchains and Verified Builds. In USENIX Security Symposium. USENIX Association, Vancouver, BC, 1271--1287.Google ScholarGoogle Scholar
  65. Lorelli S. Nowell, Jill M. Norris, Deborah E. White, and Nancy J. Moules. 2017. Thematic Analysis: Striving to Meet the Trustworthiness Criteria. International journal of qualitative methods 16, 1 (2017), 160940691773384. https://doi.org/10.1177/1609406917733847Google ScholarGoogle ScholarCross RefCross Ref
  66. U.S. Department of Commerce. 2019. United States Census Bureau. https://www.census.gov/quickfacts/fact/table/US/PST045219Google ScholarGoogle Scholar
  67. Abby Ohlheiser. 2017. How far-right trolls named the wrong man as the Las Vegas shooter. The Washington Post Online (October 2017). https://www.washingtonpost.com/news/the-intersect/wp/2017/10/02/how-far-right-trollsnamed-the-wrong-man-as-the-las-vegas-shooter/Google ScholarGoogle Scholar
  68. Stefan Palan and Christian Schitter. 2018. Prolific.ac-A subject pool for online experiments. Journal of behavioral and experimental finance 17 (Mar 2018), 22--27. https://dx.doi.org/10.1016/j.jbef.2017.12.004Google ScholarGoogle ScholarCross RefCross Ref
  69. Michael Palanski and Andrea Hickerson. 2019. Journalism needs to practice transparency in a different way to rebuild credibility. https://theconversation.com/journalism-needs-to-practice-transparency-in-a-different-way-to-rebuildcredibility- 111474Google ScholarGoogle Scholar
  70. Eyal Peer, Laura Brandimarte, Sonam Samat, and Alessandro Acquisti. 2017. Beyond the Turk: Alternative platforms for crowdsourcing behavioral research. Journal of experimental social psychology 70 (May 2017), 153--163. https: //dx.doi.org/10.1016/j.jesp.2017.01.006Google ScholarGoogle ScholarCross RefCross Ref
  71. The Gateway Pundent. 2017. Las Vegas Shooter Reportedly a Democrat Who Liked Rachel Maddow, MoveOn.org and Associated with Anti-Trump Army. http://www.thegatewaypundit.com/2017/10/las-vegas-shooter-reportedlydemocrat- liked-rachel-maddow-moveon-org-associated-anti-trump-army/Google ScholarGoogle Scholar
  72. Quan-Haase, Anabel, Young, and Alyson L. 2014. The Uses and Gratifications (U&G) Approach as a Lens for Studying Social Media Practice. John Wiley & Sons, Ltd, Hoboken, New Jersey, Chapter 15, 269--286. https://doi.org/10.1002/ 9781118591178.ch15 arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781118591178.ch15Google ScholarGoogle Scholar
  73. R Core Team. 2013. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/Google ScholarGoogle Scholar
  74. Robert W Reeder, Adrienne Porter Felt, Sunny Consolvo, Nathan Malkin, Christopher Thompson, and Serge Egelman. 2018. An experience sampling study of user reactions to browser warnings in the field. In Proceedings of the 2018 CHI conference on human factors in computing systems. ACM CHI, Montréal, Canada, 1--13.Google ScholarGoogle ScholarDigital LibraryDigital Library
  75. William Revelle. 2021. psych: Procedures for Psychological, Psychometric, and Personality Research. Northwestern University, Evanston, Illinois. https://CRAN.R-project.org/package=psych R package version 2.1.6.Google ScholarGoogle Scholar
  76. Rebecca Riffkin. 2015. Americans' Trust in Media Remains at Historical Low. Gallup 2015 (2015). https://news.gallup.com/poll/185927/americans-trust-media-remains-historical-low.aspx?g_source=Politics&g_ medium=newsfeed&g_campaign=tilesGoogle ScholarGoogle Scholar
  77. Thomas E. Ruggiero. 2000. Uses and Gratifications Theory in the 21st Century. Mass Communication and Society 3, 1 (Feb 2000), 3--37. https://doi.org/10.1207/S15327825MCS0301_02Google ScholarGoogle ScholarCross RefCross Ref
  78. Mark Dermot Ryan. 2014. Enhanced Certificate Transparency and End-to-End Encrypted Mail. In NDSS. The Internet Society, San Diego, CA, 14 pages.Google ScholarGoogle Scholar
  79. Fadi Safieddine, Seifedine Kadry, and Wassim Masri. 2021. Misinformation on Social Media: The Development of User Behavior Survey. International Multi-Conference on Society, Cybernetics and Informatics 13 (2021), 8 pages.Google ScholarGoogle Scholar
  80. S. E. Schechter, R. Dhamija, A. Ozment, and I. Fischer. 2007. The Emperor's New Security Indicators. , 51--65 pages. https://doi.org/10.1109/SP.2007.35Google ScholarGoogle ScholarDigital LibraryDigital Library
  81. Steve Schifferes, Nic Newman, Neil Thurman, David Corney, Ayse Göker, and Carlos Martin. 2014. Identifying and Verifying News through Social Media. Digital Journalism 2, 3 (2014), 406--418. https://doi.org/10.1080/21670811.2014. 892747 arXiv:https://doi.org/10.1080/21670811.2014.892747Google ScholarGoogle ScholarCross RefCross Ref
  82. Andrew K. Schnackenberg and Edward C. Tomlinson. 2016. Organizational Transparency: A New Perspective on Managing Trust in Organization-Stakeholder Relationships. Journal of management 42, 7 (2016), 1784--1810. https://doi.org/10.1177/0149206314525202Google ScholarGoogle ScholarCross RefCross Ref
  83. Scott Shane and Ronen Bergman. 2019. New Report Shows How a Pro-Iran Group Spread Fake News Online.Google ScholarGoogle Scholar
  84. Jieun Shin. 2020. How Do Partisans Consume News on Social Media? A Comparison of Self-Reports With Digital Trace Measures Among Twitter Users. Social media society 6, 4 (2020), 12 pages. https://doi.org/10.1177/2056305120981039Google ScholarGoogle ScholarCross RefCross Ref
  85. Emily Stark, Ryan Sleevi, Rijad Muminovic, Devon O'Brien, Eran Messeri, Adrienne Porter Felt, Brendan McMillion, and Parisa Tabriz. 2019. Does certificate transparency break the web? Measuring adoption and error rate. In 2019 IEEE Symposium on Security and Privacy (SP). IEEE, San Francisco, CA, 211--226.Google ScholarGoogle ScholarCross RefCross Ref
  86. David Sterrett, Dan Malato, Jennifer Benz, Liz Kantor, Trevor Tompson, Tom Rosenstiel, Jeff Sonderman, and Kevin Loker. 2019. Who Shared It?: Deciding What News to Trust on Social Media. Digital journalism 7, 6 (2019), 783--801. https://doi.org/10.1080/21670811.2019.1623702Google ScholarGoogle ScholarCross RefCross Ref
  87. Art Swift. 2016. Americans' Trust in Mass Media Sinks to New Low. Gallup 2016 (2016). https://news.gallup.com/ poll/195542/americans-trust-mass-media-sinks-new-low.aspxGoogle ScholarGoogle Scholar
  88. Hamed Taherdoost. 2017. Determining Sample Size; How to Calculate Survey Sample Size. International Journal of Economics and Management System 2 (2017), 237--239.Google ScholarGoogle Scholar
  89. Harsh Taneja and Katie Yaeger. 2019. Do People Consume the News they Trust? , 10 pages. https://doi.org/10.1145/ 3290605.3300770Google ScholarGoogle Scholar
  90. Benjamin Toff, Sumitra Badrinathan, Camila Mont'Alverne, Amy Ross Arguedas, Richard Fletcher, and Rasmus Kleis Nielsen. 2020. What we think we know and what we want to know: perspectives on trust in news in a changing world. Technical Report. Reuters Institute. https://reutersinstitute.politics.ox.ac.uk/what-we-think-we-know-and-whatwe- want-know-perspectives-trust-news-changing-worldGoogle ScholarGoogle Scholar
  91. Yariv Tsfati and Joseph N. Cappella. 2005. Why Do People Watch News They Do Not Trust? The Need for Cognition as a Moderator in the Association Between News Media Skepticism and Exposure. null 7, 3 (2005), 251--271. https://doi.org/10.1207/S1532785XMEP0703_2Google ScholarGoogle ScholarCross RefCross Ref
  92. Melissa Tully, Leticia Bode, and Emily K. Vraga. 2020. Mobilizing Users: Does Exposure to Misinformation and Its Correction Affect Users' Responses to a Health Misinformation Post? Social media Society 6, 4 (2020), 12 pages. https://doi.org/10.1177/2056305120978377Google ScholarGoogle ScholarCross RefCross Ref
  93. Nirvan Tyagi, Ben Fisch, Joseph Bonneau, and Stefano Tessaro. 2021. Client-Auditable Verifiable Registries. Cryptology ePrint Archive, Report 2021/627. https://ia.cr/2021/627.Google ScholarGoogle Scholar
  94. Richard C. Vincent and Michael D. Basil. 1997. College students' news gratifications, media use, and current events knowledge. Journal of Broadcasting & Electronic Media 41, 3 (Jun 1997), 380--392. https://doi.org/10.1080/ 08838159709364414Google ScholarGoogle ScholarCross RefCross Ref
  95. C. von der Weth, J. Vachery, and M. Kankanhalli. 2020. Nudging Users to Slow Down the Spread of Fake News in Social Media. In 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, Virtual (London, United Kingdom), 1--6. https://doi.org/10.1109/ICMEW46912.2020.9106003Google ScholarGoogle ScholarCross RefCross Ref
  96. Zheng Wang, John M Tchernev, and Tyler Solloway. 2012. A dynamic longitudinal examination of social media use, needs, and gratifications among college students. Computers in human behavior 28, 5 (2012), 1829--1839.Google ScholarGoogle Scholar
  97. AndreaWenzel and Jacob L. Nelson. 2020. Introduction ?Engaged" Journalism: Studying the News Industry's Changing Relationship with the Public. Journalism Practice 14, 5 (2020), 515--517. https://doi.org/10.1080/17512786.2020.1759126 arXiv:https://doi.org/10.1080/17512786.2020.1759126Google ScholarGoogle ScholarCross RefCross Ref
  98. Hadley Wickham. 2016. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag, New York, NY. https: //ggplot2.tidyverse.orgGoogle ScholarGoogle ScholarDigital LibraryDigital Library
  99. Yang Xiao, Ning Zhang, Wenjing Lou, and Y Thomas Hou. 2020. A survey of distributed consensus protocols for blockchain networks. IEEE Communications Surveys & Tutorials 22, 2 (2020), 1432--1465.Google ScholarGoogle ScholarCross RefCross Ref
  100. Waheeb Yaqub, Otari Kakhidze, Morgan L Brockman, Nasir Memon, and Sameer Patil. 2020. Effects of credibility indicators on social media news sharing intent. In Proceedings of the 2020 chi conference on human factors in computing systems. 1--14.Google ScholarGoogle ScholarDigital LibraryDigital Library
  101. Jiangshan Yu, Mark Ryan, and Cas Cremers. 2015. How to detect unauthorised usage of a key. IACR Cryptol. ePrint Arch. 2015 (2015), 486.Google ScholarGoogle Scholar

Index Terms

  1. Transparency, Trust, and Security Needs for the Design of Digital News Authentication Tools

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in

        Full Access

        • Published in

          cover image Proceedings of the ACM on Human-Computer Interaction
          Proceedings of the ACM on Human-Computer Interaction  Volume 7, Issue CSCW1
          CSCW
          April 2023
          3836 pages
          EISSN:2573-0142
          DOI:10.1145/3593053
          Issue’s Table of Contents

          Copyright © 2023 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 16 April 2023
          Published in pacmhci Volume 7, Issue CSCW1

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article
        • Article Metrics

          • Downloads (Last 12 months)232
          • Downloads (Last 6 weeks)32

          Other Metrics

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader