Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
162 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Deliberate Exposure to Opposing Views and its Association with Behavior and Rewards on Political Communities (2401.14608v1)

Published 26 Jan 2024 in cs.SI and cs.HC

Abstract: Engaging with diverse political views is important for reaching better collective decisions, however, users online tend to remain confined within ideologically homogeneous spaces. In this work, we study users who are members of these spaces but who also show a willingness to engage with diverse views, as they have the potential to introduce more informational diversity into their communities. Across four Reddit communities (r/Conservative, r/The_Donald, r/ChapoTrapHouse, r/SandersForPresident), we find that these users tend to use less hostile and more advanced and personable language, but receive fewer social rewards from their peers compared to others. We also find that social sanctions on the discussion community r/changemyview are insufficient to drive them out in the short term, though they may play a role over the longer term.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (61)
  1. Political Discussions in Homogeneous and Cross-Cutting Communication Spaces. Proceedings of the International AAAI Conference on Web and Social Media, 13:68–79, July 2019. ISSN 2334-0770. URL https://ojs.aaai.org/index.php/ICWSM/article/view/3210.
  2. Exposure to ideologically diverse news and opinion on Facebook. Science, 348(6239):1130–1132, June 2015. ISSN 0036-8075, 1095-9203. doi: 10.1126/science.aaa1160. URL https://science.sciencemag.org/content/348/6239/1130. Publisher: American Association for the Advancement of Science Section: Report.
  3. The Pushshift Reddit Dataset. Proceedings of the International AAAI Conference on Web and Social Media, 14:830–839, May 2020.
  4. Latent Dirichlet Allocation. Journal of Machine Learning Research, 3(4/5):993–1022, May 2003. ISSN 15324435. URL https://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,shib&db=bth&AN=12323372&site=ehost-live&scope=site&custid=s8454451. Publisher: Microtome Publishing.
  5. “You wouldn’t celebrate September 11”: Testing online polarisation between opposing ideological camps on YouTube. Group Processes & Intergroup Relations, 23(6):827–844, 2020.
  6. The Development and Psychometric Properties of LIWC-22. 2022. doi: 10.13140/RG.2.2.23890.43205. URL https://rgdoi.net/10.13140/RG.2.2.23890.43205. Publisher: Unpublished.
  7. How Do Individuals in a Radical Echo Chamber React to Opposing Views? Evidence from a Content Analysis of Stormfront. Human Communication Research, 48(1):116–145, Jan. 2022. ISSN 0360-3989. doi: 10.1093/hcr/hqab020. URL https://doi.org/10.1093/hcr/hqab020.
  8. Y. Y. Chong and H. Kwak. Understanding Toxicity Triggers on Reddit in the Context of Singapore. Proceedings of the International AAAI Conference on Web and Social Media, 16:1383–1387, May 2022. ISSN 2334-0770. doi: 10.1609/icwsm.v16i1.19392. URL https://ojs.aaai.org/index.php/ICWSM/article/view/19392.
  9. No country for old members: user lifecycle and linguistic change in online communities. In Proceedings of the 22nd international conference on World Wide Web, WWW ’13, pages 307–318, New York, NY, USA, May 2013. Association for Computing Machinery. ISBN 978-1-4503-2035-1. doi: 10.1145/2488388.2488416. URL https://dl.acm.org/doi/10.1145/2488388.2488416.
  10. J. L. Davis and T. Graham. Emotional consequences and attention rewards: the social effects of ratings on Reddit. Information, Communication & Society, 24(5):649–666, Apr. 2021. ISSN 1369-118X. doi: 10.1080/1369118X.2021.1874476. URL https://doi.org/10.1080/1369118X.2021.1874476. Publisher: Routledge _eprint: https://doi.org/10.1080/1369118X.2021.1874476.
  11. No echo in the chambers of political interactions on Reddit. Scientific Reports, 11(1):2818, Dec. 2021. ISSN 2045-2322. doi: 10.1038/s41598-021-81531-x. URL http://www.nature.com/articles/s41598-021-81531-x.
  12. Non-polar Opposites: Analyzing the Relationship between Echo Chambers and Hostile Intergroup Interactions on Reddit. Proceedings of the International AAAI Conference on Web and Social Media, 17:197–208, June 2023. ISSN 2334-0770. doi: 10.1609/icwsm.v17i1.22138. URL https://ojs.aaai.org/index.php/ICWSM/article/view/22138.
  13. Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship. In Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW ’18, pages 913–922, Lyon, France, 2018. ACM Press. ISBN 978-1-4503-5639-8. doi: 10.1145/3178876.3186139. URL http://dl.acm.org/citation.cfm?doid=3178876.3186139.
  14. Upvoting extremism: Collective identity formation and the extreme right on Reddit. New Media & Society, 23(12):3491–3508, Dec. 2021. ISSN 1461-4448. doi: 10.1177/1461444820958123. URL https://doi.org/10.1177/1461444820958123. Publisher: SAGE Publications.
  15. S. A. Gilbert. ”I run the world’s largest historical outreach project and it’s on a cesspool of a website.” Moderating a Public Scholarship Site on Reddit: A Case Study of r/AskHistorians. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW1):19:1–19:27, May 2020. doi: 10.1145/3392822. URL https://doi.org/10.1145/3392822.
  16. E. Guest. (Anti-)Echo Chamber Participation: Examining Contributor Activity Beyond the Chamber. In Proceedings of the 9th International Conference on Social Media and Society, pages 301–304, Copenhagen Denmark, July 2018. ACM. ISBN 978-1-4503-6334-1. doi: 10.1145/3217804.3217933. URL https://dl.acm.org/doi/10.1145/3217804.3217933.
  17. Don’t bite the newbies: how reverts affect the quantity and quality of Wikipedia work. In Proceedings of the 7th International Symposium on Wikis and Open Collaboration, WikiSym ’11, pages 163–172, New York, NY, USA, Oct. 2011. Association for Computing Machinery. ISBN 978-1-4503-0909-7. doi: 10.1145/2038558.2038585. URL https://dl.acm.org/doi/10.1145/2038558.2038585.
  18. D. Halpern and J. Gibbs. Social media as a catalyst for online deliberation? Exploring the affordances of Facebook and YouTube for political expression. Computers in Human Behavior, 29(3):1159–1168, May 2013. ISSN 0747-5632. doi: 10.1016/j.chb.2012.10.008. URL https://www.sciencedirect.com/science/article/pii/S0747563212002762.
  19. Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity. In Proceedings of the 26th International Conference on World Wide Web, WWW ’17, pages 927–936, Republic and Canton of Geneva, CHE, Apr. 2017. International World Wide Web Conferences Steering Committee. ISBN 978-1-4503-4913-0. doi: 10.1145/3038912.3052684. URL https://doi.org/10.1145/3038912.3052684.
  20. Identifying the Social Signals That Drive Online Discussions: A Case Study of Reddit Communities. In 2017 26th International Conference on Computer Communication and Networks (ICCCN), pages 1–9, July 2017. doi: 10.1109/ICCCN.2017.8038388. URL https://ieeexplore.ieee.org/abstract/document/8038388.
  21. On the Globalization of the QAnon Conspiracy Theory Through Telegram. In Proceedings of the 15th ACM Web Science Conference 2023, WebSci ’23, pages 75–85, New York, NY, USA, Apr. 2023. Association for Computing Machinery. ISBN 9798400700897. doi: 10.1145/3578503.3583603. URL https://dl.acm.org/doi/10.1145/3578503.3583603.
  22. Deceiving Google’s Perspective API Built for Detecting Toxic Comments. arXiv:1702.08138 [cs], Feb. 2017.
  23. Bot Detection in Reddit Political Discussion. In Proceedings of the Fourth International Workshop on Social Sensing, SocialSense’19, pages 30–35, New York, NY, USA, Apr. 2019. Association for Computing Machinery. ISBN 978-1-4503-6706-6. doi: 10.1145/3313294.3313386. URL https://dl.acm.org/doi/10.1145/3313294.3313386.
  24. ”Did You Suspect the Post Would be Removed?”: Understanding User Reactions to Content Removals on Reddit. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW):192:1–192:33, Nov. 2019. doi: 10.1145/3359294. URL https://doi.org/10.1145/3359294.
  25. Jigsaw. About the API - Attributes and Languages, 2023. URL https://support.perspectiveapi.com/s/about-the-api-attributes-and-languages.
  26. M. Kang. Motivational affordances and survival of new askers on social Q&A sites: The case of Stack Exchange network. Journal of the Association for Information Science and Technology, 73(1):90–103, 2022. ISSN 2330-1643. doi: 10.1002/asi.24548. URL https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.24548. _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/asi.24548.
  27. Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use. In Twelfth International AAAI Conference on Web and Social Media, June 2018. URL https://www.aaai.org/ocs/index.php/ICWSM/ICWSM18/paper/view/17844.
  28. Measuring User-Moderator Alignment on r/ChangeMyView. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW2):286:1–286:36, Oct. 2023. doi: 10.1145/3610077. URL https://dl.acm.org/doi/10.1145/3610077.
  29. Designing Toxic Content Classification for a Diversity of Perspectives. pages 299–318, 2021. ISBN 978-1-939133-25-0. URL https://www.usenix.org/conference/soups2021/presentation/kumar.
  30. RoBERTa: A Robustly Optimized BERT Pretraining Approach, July 2019. URL http://arxiv.org/abs/1907.11692. arXiv:1907.11692 [cs].
  31. B. D. Loader and D. Mercea. Networking Democracy? Information, Communication & Society, 14(6):757–769, Sept. 2011. ISSN 1369-118X. doi: 10.1080/1369118X.2011.592648. URL https://doi.org/10.1080/1369118X.2011.592648. Publisher: Routledge _eprint: https://doi.org/10.1080/1369118X.2011.592648.
  32. N. Marchal. “Be Nice or Leave Me Alone”: An Intergroup Perspective on Affective Polarization in Online Political Discussions. Communication Research, page 009365022110425, Sept. 2021. ISSN 0093-6502, 1552-3810. doi: 10.1177/00936502211042516. URL http://journals.sagepub.com/doi/10.1177/00936502211042516.
  33. D. M. Markowitz. Self-presentation in medicine: How language patterns reflect physician impression management goals and affect perceptions. Computers in Human Behavior, 143:107684, June 2023. ISSN 0747-5632. doi: 10.1016/j.chb.2023.107684. URL https://www.sciencedirect.com/science/article/pii/S0747563223000353.
  34. Characterizing the Evolution of Communities on Reddit. In International Conference on Social Media and Society, SMSociety’20, pages 58–64, New York, NY, USA, July 2020. Association for Computing Machinery. ISBN 978-1-4503-7688-4. doi: 10.1145/3400806.3400814. URL https://dl.acm.org/doi/10.1145/3400806.3400814.
  35. C. Moore and L. Chuang. Redditors Revealed: Motivational Factors of the Reddit Community. 2017. doi: 10.24251/HICSS.2017.279. URL http://hdl.handle.net/10125/41434.
  36. What motivates online community contributors to contribute consistently? A case study on Stackoverflow netizens. Current Psychology, June 2022. ISSN 1936-4733. doi: 10.1007/s12144-022-03307-4. URL https://doi.org/10.1007/s12144-022-03307-4.
  37. Reuters Institute Digital News Report 2022. page 164, 2022.
  38. The Development and Psychometric Properties of LIWC2015. Sept. 2015. URL https://repositories.lib.utexas.edu/handle/2152/31333. Accepted: 2015-09-16T13:00:41Z.
  39. On the Relation between Opinion Change and Information Consumption on Reddit. Proceedings of the International AAAI Conference on Web and Social Media, 17:710–719, June 2023. ISSN 2334-0770. doi: 10.1609/icwsm.v17i1.22181. URL https://ojs.aaai.org/index.php/ICWSM/article/view/22181.
  40. Characterizing Social Imaginaries and Self-Disclosures of Dissonance in Online Conspiracy Discussion Communities. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2):468:1–468:35, Oct. 2021a. doi: 10.1145/3479855. URL https://doi.org/10.1145/3479855.
  41. What Makes People Join Conspiracy Communities? Role of Social Factors in Conspiracy Engagement. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW3):223:1–223:30, Jan. 2021b. doi: 10.1145/3432922. URL https://doi.org/10.1145/3432922.
  42. Quick, Community-Specific Learning: How Distinctive Toxicity Norms Are Maintained in Political Subreddits. Proceedings of the International AAAI Conference on Web and Social Media, 14:557–568, May 2020. ISSN 2334-0770. URL https://ojs.aaai.org/index.php/ICWSM/article/view/7323.
  43. Political Discussion is Abundant in Non-political Subreddits (and Less Toxic). Proceedings of the International AAAI Conference on Web and Social Media, 15:525–536, May 2021. ISSN 2334-0770. URL https://ojs.aaai.org/index.php/ICWSM/article/view/18081.
  44. Designing Political Deliberation Environments to Support Interactions in the Public Sphere. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI ’15, pages 3167–3176, New York, NY, USA, Apr. 2015. Association for Computing Machinery. ISBN 978-1-4503-3145-6. doi: 10.1145/2702123.2702403. URL https://doi.org/10.1145/2702123.2702403.
  45. The wisdom of polarized crowds. Nature Human Behaviour, 3(4):329–336, Apr. 2019. ISSN 2397-3374. doi: 10.1038/s41562-019-0541-6. URL http://www.nature.com/articles/s41562-019-0541-6.
  46. A Characterization of Political Communities on Reddit. In Proceedings of the 30th ACM Conference on Hypertext and Social Media, HT ’19, pages 259–263, New York, NY, USA, Sept. 2019. Association for Computing Machinery. ISBN 978-1-4503-6885-8. doi: 10.1145/3342220.3343662. URL https://doi.org/10.1145/3342220.3343662.
  47. A systematic literature review on the barriers faced by newcomers to open source software projects. Information and Software Technology, 59:67–85, Mar. 2015. ISSN 0950-5849. doi: 10.1016/j.infsof.2014.11.001. URL https://www.sciencedirect.com/science/article/pii/S0950584914002390.
  48. G. Stoddard. Popularity Dynamics and Intrinsic Quality in Reddit and Hacker News. Proceedings of the International AAAI Conference on Web and Social Media, 9(1):416–425, 2015. ISSN 2334-0770. doi: 10.1609/icwsm.v9i1.14636. URL https://ojs.aaai.org/index.php/ICWSM/article/view/14636. Number: 1.
  49. E. A. Stuart. Matching methods for causal inference: A review and a look forward. Statistical science : a review journal of the Institute of Mathematical Statistics, 25(1):1–21, Feb. 2010. ISSN 0883-4237. doi: 10.1214/09-STS313. URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943670/.
  50. L. Terren and R. Borge-Bravo. Echo Chambers on Social Media: A Systematic Review of the Literature. Review of Communication Research, 9:99–118, Mar. 2021. ISSN 2255-4165. URL https://rcommunicationr.org/index.php/rcr/article/view/94.
  51. M. Torcal and G. Maldonado. Revisiting the Dark Side of Political Deliberation: The Effects of Media and Political Discussion on Political Interest. Public Opinion Quarterly, 78(3):679–706, Jan. 2014. ISSN 0033-362X. doi: 10.1093/poq/nfu035. URL https://doi.org/10.1093/poq/nfu035.
  52. Achieving desired images while avoiding undesired images: Exploring the role of self-monitoring in impression management. Journal of Applied Psychology, 86:351–360, 2001. ISSN 1939-1854. doi: 10.1037/0021-9010.86.2.351. Place: US Publisher: American Psychological Association.
  53. F. Votta. favstats/AllSideR, Aug. 2023. URL https://github.com/favstats/AllSideR. original-date: 2019-10-17T14:51:06Z.
  54. I. Waller and A. Anderson. Quantifying social organization and political polarization in online platforms. Nature, pages 1–5, Dec. 2021. ISSN 1476-4687. doi: 10.1038/s41586-021-04167-x. URL https://www.nature.com/articles/s41586-021-04167-x. Bandiera_abtest: a Cg_type: Nature Research Journals Primary_atype: Research Publisher: Nature Publishing Group Subject_term: Computer science;Interdisciplinary studies;Sociology Subject_term_id: computer-science;interdisciplinary-studies;sociology.
  55. Incidental Exposure, Selective Exposure, and Political Information Sharing: Integrating Online Exposure Patterns and Expression on Social Media. Journal of Computer-Mediated Communication, 22(6):363–379, Nov. 2017. ISSN 1083-6101. doi: 10.1111/jcc4.12199. URL https://doi.org/10.1111/jcc4.12199.
  56. Motivating User Contributions in Online Knowledge Communities: Virtual Rewards and Reputation. In 2015 48th Hawaii International Conference on System Sciences, pages 3760–3769, Jan. 2015. doi: 10.1109/HICSS.2015.452. ISSN: 1530-1605.
  57. S. Wright and J. Street. Democracy, deliberation and design: the case of online discussion forums. New Media & Society, 9(5):849–869, Oct. 2007. ISSN 1461-4448. doi: 10.1177/1461444807081230. URL https://doi.org/10.1177/1461444807081230. Publisher: SAGE Publications.
  58. Exploring Antecedents and Consequences of Toxicity in Online Discussions: A Case Study on Reddit. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW2):108:1–108:23, Oct. 2020. doi: 10.1145/3415179. URL https://dl.acm.org/doi/10.1145/3415179.
  59. Measuring and Characterizing Hate Speech on News Websites. In 12th ACM Conference on Web Science, WebSci ’20, pages 125–134, New York, NY, USA, July 2020. Association for Computing Machinery. ISBN 978-1-4503-7989-2. doi: 10.1145/3394231.3397902. URL https://doi.org/10.1145/3394231.3397902.
  60. Community Identity and User Engagement in a Multi-Community Landscape. Proceedings of the International AAAI Conference on Web and Social Media, 11(1):377–386, May 2017. ISSN 2334-0770. doi: 10.1609/icwsm.v11i1.14904. URL https://ojs.aaai.org/index.php/ICWSM/article/view/14904. Number: 1.
  61. Debunking in a world of tribes. PLOS ONE, 12(7):e0181821, July 2017. ISSN 1932-6203. doi: 10.1371/journal.pone.0181821. URL https://dx.plos.org/10.1371/journal.pone.0181821.

Summary

We haven't generated a summary for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Summarize Now
X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets