short-paper

A Message's Persuasive Features in Wikipedia's Article for Deletion Discussions

Author:

Lu XiaoAuthors Info & Claims

SMSociety '18: Proceedings of the 9th International Conference on Social Media and Society

Pages 345 - 349

https://doi.org/10.1145/3217804.3217942

Published: 18 July 2018 Publication History

Abstract

In this study, we examine indicators of an OOC comment's persuasive power in the context of Wikipedia's Article for Deletion (AfD) discussions. Our preliminary results are in general consistent with the previous persuasion studies in Reddit discussion. Compared to non-persuasive comments, persuasive comments used less pronouns, impersonal pronouns, had lower sentiment level, and scored higher on analytical thinking and lower on authentic category. We also have different findings from the Reddit studies. Specifically, length of a comment and the use of complicated words are not strong indicators of an AfD comment's persuasive power. Also, in the AfD discussions, persuasive comments scored higher on the use of power (relevant to status, dominance, social hierarchies) and risk categories (related to dangers, concerns, and things to avoid). We consider that the different discussion contexts, that is, Wikipedia AfD versus Reddit discussions, contribute to this observed difference.

References

[1]

Pew Research. 2016. http://www.pewinternet.org/fact-sheet/internet-broadband/

[2]

Gerald R. Miller. 2002. On being persuaded: Some basic distinctions. In M. P. James Price Dillard (Ed.), The persuasion handbook: Developments in theory and practice SAGE Publications Inc.

[3]

Daniel J. O'Keefe. 1990. Persuasion: Theory and practice. Newbury Park, CA: Sage

[4]

Muzafer Sherif, and Carl Hovland. 1961. Social judgment: Assimilation and contrast effects in communication and attitude change. Oxford, England: Yale University Press.

[5]

Richard E. Petty, and John T.Cacioppo. 1986. The elaboration likelihood model of persuasion. Advances in experimental social psychology, 19, 123--205.

[6]

William J. McGuire. 1964. Inducing resistance to persuasion: Some contemporary approaches. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 1, pp.191--229). New York: Academic Press

[7]

Leon Festinger. 1957. A Theory of Cognitive Dissonance. California: Stanford University Press

[8]

Walter R. Fisher. 1984. Narration as a human communication paradigm: The case of public moral argument. Communications Monographs, 51(1), 1--22

[9]

P.Karen Murphy. 2001. What makes a text persuasive? Comparing students and experts conceptions of persuasiveness. International Journal of Educational Research, 35 (7-8), 675--698

[10]

Mike Allen. 1991. Meta-analysis comparing the persuasiveness of one-sided and two-sided messages. Western Journal of Speech Communication, 55(4), 390--404.

[11]

David DeSteno, Richard E. Petty, Derek D. Rucker, Duane T. Wegener, and Julia Braverman. 2004. Discrete emotions and persuasion: the role of emotion-induced expectancies. Journal of personality and social psychology, 86(1), 43

[12]

Lawrence A. Hosman. 2002. Language and persuasion. In Dillard J. P., & Pfau (Eds.), The persuasion handbook: Developments in theory and practice, 371--390

[13]

John R. Sparks, Charles S. Areni, and K. Chris Cox. 1998. An investigation of the effects of language style and communication modality on persuasion. Communications Monographs, 65(2), 108--125

[14]

Janice A. Dole, and Gale M. Sinatra. 1998. Reconceptualizing change in the cognitive construction of knowledge. Educational Psychologist, 33, 109--128.

[15]

Rosanna E. Guadagno, and Robert B. Cialdini. 2002. Online persuasion: An examination of gender differences in computer-mediated interpersonal influence. Group Dynamics: Theory, Research, and Practice, 6(1), 38

[16]

Vincent Price, Lilach Nir, and Joseph N. Cappella. 2006. Normative and informational influences in online political discussions. Communication Theory, 16(1), 47--74

[17]

Chenhao Tan, Vlad Niculae, Christian Danescu-Niculescu-Mizil, and Lilian Lee. 2016. Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions. In Proceedings of the 25th international conference on World Wide Web, 613--624.

Digital Library

[18]

Taraneh Khazaei, Lu Xiao, and Robert Mercer. 2017. Writing to persuade: Analysis and detection of persuasive discourse. Proceedings of the 2017 iConference, http://hdl.handle.net/2142/96673

[19]

Scott A. Crossley, and Danielle S. McNamara. 2012. Predicting second language writing proficiency: The roles of cohesion and linguistic sophistication. Journal of Research in Reading, 35, 2 (2012), 115--135.

[20]

Transitional words & phrases, http://www.studygs.net/wrtstr6.htm

[21]

Lu Xiao, and Nicole Marie Askin. 2014. What influences online deliberation? A Wikipedia study. Journal of the Association for Information Science and Technology, 65(5), 898--910

Digital Library

[22]

Language Inquiry and Word Count, http://liwc.wpengine.com/

[23]

Larry V. Hedges. 1981. Distribution theory for Glass's estimator of effect size and related estimators. journal of Educational Statistics, 6(2), 107--128.

[24]

Craig R. Hullett. 2005. The impact of mood on persuasion: A meta-analysis. Communication Research, 32(4), 423--442

Cited By

Liu RHuang JZhang Z(2023)Tracking disclosure change trajectories for financial fraud detectionProduction and Operations Management10.1111/poms.1388832:2(584-602)Online publication date: 1-Feb-2023
https://doi.org/10.1111/poms.13888
Xiao LMensah H(2022)How Does the Thread Level of a Comment Affect its Perceived Persuasiveness? A Reddit StudyIntelligent Computing10.1007/978-3-031-10464-0_55(800-813)Online publication date: 7-Jul-2022
https://doi.org/10.1007/978-3-031-10464-0_55
Xiao LWu QSoundarajan SLi J(2022)Language Use and Susceptibility in Online ConversationIntelligent Computing10.1007/978-3-031-10464-0_54(787-799)Online publication date: 7-Jul-2022
https://doi.org/10.1007/978-3-031-10464-0_54
Show More Cited By

Index Terms

A Message's Persuasive Features in Wikipedia's Article for Deletion Discussions
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Social media

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SMSociety '18: Proceedings of the 9th International Conference on Social Media and Society

July 2018

405 pages

ISBN:9781450363341

DOI:10.1145/3217804

Copyright © 2018 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].

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Copenhagen Business School

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Published: 18 July 2018

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SMSociety '18

SMSociety '18: International Conference on Social Media and Society

July 18 - 20, 2018

Copenhagen, Denmark

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Cited By

Liu RHuang JZhang Z(2023)Tracking disclosure change trajectories for financial fraud detectionProduction and Operations Management10.1111/poms.1388832:2(584-602)Online publication date: 1-Feb-2023
https://doi.org/10.1111/poms.13888
Xiao LMensah H(2022)How Does the Thread Level of a Comment Affect its Perceived Persuasiveness? A Reddit StudyIntelligent Computing10.1007/978-3-031-10464-0_55(800-813)Online publication date: 7-Jul-2022
https://doi.org/10.1007/978-3-031-10464-0_55
Xiao LWu QSoundarajan SLi J(2022)Language Use and Susceptibility in Online ConversationIntelligent Computing10.1007/978-3-031-10464-0_54(787-799)Online publication date: 7-Jul-2022
https://doi.org/10.1007/978-3-031-10464-0_54
Ta VBoyd RSeraj SKeller AGriffith CLoggarakis AMedema L(2021)An inclusive, real-world investigation of persuasion in language and verbal behaviorJournal of Computational Social Science10.1007/s42001-021-00153-55:1(883-903)Online publication date: 1-Dec-2021
https://doi.org/10.1007/s42001-021-00153-5
Flynn OMurugadass AXiao L(2021)Attracting Attention in Online Health Forums: Studies of r/Alzheimers and r/dementiaDiversity, Divergence, Dialogue10.1007/978-3-030-71292-1_29(377-395)Online publication date: 19-Mar-2021
https://doi.org/10.1007/978-3-030-71292-1_29
Mayfield EBlack A(2019)Analyzing Wikipedia Deletion Debates with a Group Decision-Making Forecast ModelProceedings of the ACM on Human-Computer Interaction10.1145/33593083:CSCW(1-26)Online publication date: 7-Nov-2019
https://dl.acm.org/doi/10.1145/3359308
Mensah HXiao LSoundarajan S(2019)Characterizing Susceptible Users on Reddit's ChangeMyViewProceedings of the 10th International Conference on Social Media and Society10.1145/3328529.3328550(102-107)Online publication date: 19-Jul-2019
https://dl.acm.org/doi/10.1145/3328529.3328550
Xiao LKhazaei T(2019)Changing Others' Beliefs OnlineProceedings of the 10th International Conference on Social Media and Society10.1145/3328529.3328549(92-101)Online publication date: 19-Jul-2019
https://dl.acm.org/doi/10.1145/3328529.3328549
Xiao LBurke S(undefined)Persuading Others in Different Communication Media: Appeals to Logic, Authority, and EmotionSSRN Electronic Journal10.2139/ssrn.3998898
https://doi.org/10.2139/ssrn.3998898

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