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Persua: A Visual Interactive System to Enhance the Persuasiveness of Arguments in Online Discussion

Published: 11 November 2022 Publication History

Abstract

Persuading people to change their opinions is a common practice in online discussion forums on topics ranging from political campaigns to relationship consultation. Enhancing people's ability to write persuasive arguments could not only practice their critical thinking and reasoning but also contribute to the effectiveness and civility in online communication. It is, however, not an easy task in online discussion settings where written words are the primary communication channel. In this paper, we derived four design goals for a tool that helps users improve the persuasiveness of arguments in online discussions through a survey with 123 online forum users and interviews with five debating experts. To satisfy these design goals, we analyzed and built a labeled dataset of fine-grained persuasive strategies (i.e., logos, pathos, ethos, and evidence) in 164 arguments with high ratings on persuasiveness from ChangeMyView, a popular online discussion forum. We then designed an interactive visual system, Persua, which provides example-based guidance on persuasive strategies to enhance the persuasiveness of arguments. In particular, the system constructs portfolios of arguments based on different persuasive strategies applied to a given discussion topic. It then presents concrete examples based on the difference between the portfolios of user input and high-quality arguments in the dataset. A between-subjects study shows suggestive evidence that Persua encourages users to submit more times for feedback and helps users improve more on the persuasiveness of their arguments than a baseline system. Finally, a set of design considerations was summarized to guide future intelligent systems that improve the persuasiveness in text.

Supplementary Material

ZIP File (v6cscw2319aux.zip)
This folder includes eight Excel files. Each file comprises discussion threads and the labeled persuasive strategies from one of the topics from "Human Life" in ChangeMyView2, a subreddit dedicated to civil discourse: abortion, dating, eugenics, immortality, marriage, parenthood, pride, and suicide.
MP4 File (v6cscw2319.mp4)
Supplemental video

References

[1]
NM Adhikary. 2010. Explorations within: Theorizing communication and positing media ethics paradigm from Hindu perspective. In A paper presented at the Media Research Conference, March. 25--26.
[2]
Tazin Afrin, Omid Kashefi, Christopher Olshefski, Diane Litman, Rebecca Hwa, and Amanda Godley. 2021. Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1--13.
[3]
Elena Agapie, Gene Golovchinsky, and Pernilla Qvarfordt. 2013. Leading people to longer queries. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 3019--3022.
[4]
Amparo Elizabeth Cano Basave and Yulan He. 2016. A study of the impact of persuasive argumentation in political debates. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1405--1413.
[5]
Christopher M Bishop. 2006. Pattern recognition and machine learning. springer.
[6]
Filip Boltuvz ić and Jan vS najder. 2014. Back up your stance: Recognizing arguments in online discussions. In Proceedings of the First Workshop on Argumentation Mining. 49--58.
[7]
Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology, Vol. 3, 2 (2006), 77--101.
[8]
Wayne Brockriede and Douglas Ehninger. 1960. Toulmin on argument: An interpretation and application. Quarterly journal of speech, Vol. 46, 1 (1960), 44--53.
[9]
Winston Carlile, Nishant Gurrapadi, Zixuan Ke, and Vincent Ng. 2018a. Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, Melbourne, Australia, 621--631. https://doi.org/10.18653/v1/P18--1058
[10]
Winston Carlile, Nishant Gurrapadi, Zixuan Ke, and Vincent Ng. 2018b. Give me more feedback: Annotating argument persuasiveness and related attributes in student essays. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, Melbourne, Australia, 621--631. https://doi.org/10.18653/v1/P18--1058
[11]
Moitreya Chatterjee, Sunghyun Park, Han Suk Shim, Kenji Sagae, and Louis-Philippe Morency. 2014. Verbal behaviors and persuasiveness in online multimedia content. Dublin, Ireland, 50.
[12]
Ran Cheng and J. Vassileva. 2005. User motivation and persuasion strategy for peer-to-peer communities. In Proceedings of the 38th Annual Hawaii International Conference on System Sciences. https://doi.org/10.1109/HICSS.2005.653
[13]
Robert B Cialdini and Robert B Cialdini. 2007. Influence: The psychology of persuasion. Vol. 55. Collins New York.
[14]
Robert J Connors. 1979. The differences between speech and writing: Ethos, pathos, and logos. College Composition and Communication, Vol. 30, 3 (1979), 285--290.
[15]
Edward De Bono. 2017. Six thinking hats. Penguin uk.
[16]
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).
[17]
Berkeley J Dietvorst, Joseph P Simmons, and Cade Massey. 2015. Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, Vol. 144, 1 (2015), 114.
[18]
James Price Dillard and Michael Pfau. 2002. The persuasion handbook: Developments in theory and practice. Sage.
[19]
Andrew Dlugan. 2010. Ethos, pathos, logos: 3 pillars of public speaking. Six minutes speaking and presentation skills, Vol. 24 (2010).
[20]
Esin Durmus and Claire Cardie. 2019a. Exploring the role of prior beliefs for argument persuasion. arXiv preprint arXiv:1906.11301 (2019).
[21]
Esin Durmus and Claire Cardie. 2019b. Modeling the factors of user success in online debate. In The World Wide Web Conference. 2701--2707.
[22]
Alice H Eagly and Shelly Chaiken. 1993. The psychology of attitudes. Harcourt brace Jovanovich college publishers.
[23]
Ryo Egawa, Gaku Morio, and Katsuhide Fujita. 2019. Annotating and analyzing semantic role of elementary units and relations in online persuasive arguments. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. 422--428.
[24]
Leon Festinger. 1962. Cognitive dissonance. Scientific American, Vol. 207, 4 (1962), 93--106.
[25]
Frank Fischer, Ingo Kollar, Karsten Stegmann, and Christof Wecker. 2013. Toward a script theory of guidance in computer-supported collaborative learning. Educational psychologist, Vol. 48, 1 (2013), 56--66.
[26]
B. J. Fogg. 2008. Mass interpersonal persuasion: An early view of a new phenomenon. In Persuasive Technology, Harri Oinas-Kukkonen, Per Hasle, Marja Harjumaa, Katarina Segerståhl, and Peter Øhrstrøm (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 23--34.
[27]
C Gallo. 2014a. Talk like TED: The 9 public speaking secrets of the world's top minds. (2014).
[28]
Carmine Gallo. 2014b. Talk like TED: the 9 public-speaking secrets of the world's top minds. St. Martin's Press.
[29]
Andrew Gibson, Adam Aitken, Ágnes Sándor, Simon Buckingham Shum, Cherie Tsingos-Lucas, and Simon Knight. 2017. Reflective writing analytics for actionable feedback. In Proceedings of the seventh international learning analytics & knowledge conference. 153--162.
[30]
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, and Noam Slonim. 2019. Are you convinced? Choosing the more convincing evidence with a Siamese network. arXiv preprint arXiv:1907.08971 (2019).
[31]
Ine Goovaerts and Sofie Marien. 2020. Uncivil Communication and Simplistic Argumentation: Decreasing Political Trust, Increasing Persuasive Power? Political Communication, Vol. 37, 6 (2020), 768--788.
[32]
Michael D. Greenberg, Bryan Pardo, Karthic Hariharan, and Elizabeth Gerber. 2013. Crowdfunding support tools: Predicting success & failure. In CHI '13 Extended Abstracts on Human Factors in Computing Systems (Paris, France) (CHI EA '13). Association for Computing Machinery, New York, NY, USA, 1815--1820. https://doi.org/10.1145/2468356.2468682
[33]
Ivan Habernal and Iryna Gurevych. 2016. What makes a convincing argument? empirical analysis and detecting attributes of convincingness in web argumentation. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. 1214--1223.
[34]
Dale Hample. 2006. Toward a theory of evidence: Perceptual dimensions and their relationships to persuasiveness. Engaging argument (2006), 453--460.
[35]
Heejeong Han, Seunghun Shin, Namho Chung, and Chulmo Koo. 2019. Which appeals (ethos, pathos, logos) are the most important for Airbnb users to booking? International Journal of Contemporary Hospitality Management (2019).
[36]
Chenn-Jung Huang, Shun-Chih Chang, Heng-Ming Chen, Jhe-Hao Tseng, and Sheng-Yuan Chien. 2016. A group intelligence-based asynchronous argumentation learning-assistance platform. Interactive Learning Environments, Vol. 24, 7 (2016), 1408--1427.
[37]
Juho Kim et al. 2015. Learnersourcing: improving learning with collective learner activity. Ph.D. Dissertation. Massachusetts Institute of Technology.
[38]
Paul A Kirschner, Simon J Buckingham-Shum, and Chad S Carr. 2012. Visualizing argumentation: Software tools for collaborative and educational sense-making. Springer Science & Business Media.
[39]
John Lawrence and Chris Reed. 2020. Argument mining: A survey. Computational Linguistics, Vol. 45, 4 (2020), 765--818.
[40]
Alex Leavitt and John J Robinson. 2017. Upvote My News: The Practices of Peer Information Aggregation for Breaking News on reddit. com. Proceedings of the ACM on Human-Computer Interaction, Vol. 1, CSCW (2017), 1--18.
[41]
Angli Liu, Stephen Soderland, Jonathan Bragg, Christopher H Lin, Xiao Ling, and Daniel S Weld. 2016. Effective crowd annotation for relation extraction. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 897--906.
[42]
Xin Liu, Jiefu Ou, Yangqiu Song, and Xin Jiang. 2021. Exploring Discourse Structures for Argument Impact Classification. arXiv preprint arXiv:2106.00976 (2021).
[43]
Liane Longpre, Esin Durmus, and Claire Cardie. 2019. Persuasion of the Undecided: Language vs. the Listener. In Proceedings of the 6th Workshop on Argument Mining. 167--176.
[44]
Luomei Lyu. 2020. How Do People Define Women's Success in Chinese Cyberspace. In 2020 3rd International Conference on Humanities Education and Social Sciences (ICHESS 2020). Atlantis Press, 746--750.
[45]
Kenny Malone. 2019. Change my view on reddit helps people challenge their own opinions. (2019).
[46]
Krista C McCormack. 2014. Ethos, pathos, and logos: The benefits of Aristotelian rhetoric in the courtroom. Wash. U. Jurisprudence Rev., Vol. 7 (2014), 131.
[47]
Patrick E McKnight and Julius Najab. 2010. Mann-Whitney U test. The Corsini encyclopedia of psychology (2010), 1--1.
[48]
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018. Deep contextualized word representations. arXiv preprint arXiv:1802.05365 (2018).
[49]
Niels Pinkwart, Kevin Ashley, Collin Lynch, and Vincent Aleven. 2009. Evaluating an intelligent tutoring system for making legal arguments with hypotheticals. International Journal of Artificial Intelligence in Education, Vol. 19, 4 (2009), 401--424.
[50]
Samuel L Popkin. 2020. The reasoning voter: Communication and persuasion in presidential campaigns. University of Chicago Press.
[51]
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019. Language models are unsupervised multitask learners. OpenAI Blog, Vol. 1, 8 (2019), 9.
[52]
Christof Rapp. 2011. Aristotle's rhetoric. Stanford Encyclopedia of Philosophy (2011).
[53]
Kathleen Kelley Reardon. 1991. Persuasion in practice. Sage.
[54]
Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, and Iryna Gurevych. 2019. Classification and clustering of arguments with contextualized word embeddings. arXiv preprint arXiv:1906.09821 (2019).
[55]
Oliver Scheuer, Frank Loll, Niels Pinkwart, and Bruce M McLaren. 2010. Computer-supported argumentation: A review of the state of the art. International Journal of Computer-supported collaborative learning, Vol. 5, 1 (2010), 43--102.
[56]
Andy Schmitz. 2012. A primer on communication studies. Retrieved September, Vol. 19, 2 (2012).
[57]
Donald A Schon. 1984. The reflective practitioner: How professionals think in action. Vol. 5126. Basic books.
[58]
Silke Schworm and Alexander Renkl. 2007. Learning argumentation skills through the use of prompts for self-explaining examples. Journal of Educational Psychology, Vol. 99, 2 (2007), 285.
[59]
Simon Buckingham Shum, Ágnes Sándor, Rosalie Goldsmith, Randall Bass, and Mindy McWilliams. 2017. Towards reflective writing analytics: rationale, methodology and preliminary results. Journal of Learning Analytics, Vol. 4, 1 (2017), 58--84.
[60]
Christian Stab and Iryna Gurevych. 2014a. Identifying argumentative discourse structures in persuasive essays. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 46--56.
[61]
Christian Stab and Iryna Gurevych. 2014b. Identifying argumentative discourse structures in persuasive essays. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, Doha, Qatar, 46--56. https://doi.org/10.3115/v1/D14--1006
[62]
Christian Stab and Iryna Gurevych. 2017. Recognizing insufficiently supported arguments in argumentative essays. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. 980--990.
[63]
Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, and Lillian 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.
[64]
Su Hie Ting. 2018. Ethos, logos and pathos in university students' informal requests. GEMA Online® Journal of Language Studies, Vol. 18, 1 (2018).
[65]
Tamara Van Gog and Nikol Rummel. 2010. Example-based learning: Integrating cognitive and social-cognitive research perspectives. Educational Psychology Review, Vol. 22, 2 (2010), 155--174.
[66]
Vishal Verma, Swati Anand, and Kushendra Mishra. 2020. The Pathos and Logos Affecting Online Purchasing Behavior: The Mediating Role of Logos. International Journal of Online Marketing (IJOM), Vol. 10, 4 (2020), 41--56.
[67]
Thiemo Wambsganss, Tobias Kueng, Matthias Soellner, and Jan Marco Leimeister. 2021. Arguetutor: an adaptive dialog-based learning system for argumentation skills. In Proceedings of the 2021 CHI conference on human factors in computing systems. 1--13.
[68]
Thiemo Wambsganss, Christina Niklaus, Matthias Cetto, Matthias Söllner, Siegfried Handschuh, and Jan Marco Leimeister. 2020. AL: An adaptive learning support system for argumentation skills. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI '20). Association for Computing Machinery, New York, NY, USA, 1--14. https://doi.org/10.1145/3313831.3376732
[69]
Thiemo Wambsganss and Roman Rietsche. 2019. Towards designing an adaptive argumentation learning tool. (2019).
[70]
Wenting Wang, Deeksha Arya, Nicole Novielli, Jinghui Cheng, and Jin LC Guo. 2020a. ArguLens: Anatomy of community opinions on usability issues using argumentation models. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1--14.
[71]
Xuewei Wang, Weiyan Shi, Richard Kim, Yoojung Oh, Sijia Yang, Jingwen Zhang, and Zhou Yu. 2019. Persuasion for good: Towards a personalized persuasive dialogue system for social good. arXiv preprint arXiv:1906.06725 (2019).
[72]
Xingbo Wang, Haipeng Zeng, Yong Wang, Aoyu Wu, Zhida Sun, Xiaojuan Ma, and Huamin Qu. 2020b. VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1--12.
[73]
Stephan Weibelzahl. 2001. Evaluation of adaptive systems. In International Conference on User Modeling. Springer, 292--294.
[74]
Meng Xia, Yuya Asano, Joseph Jay Williams, Huamin Qu, and Xiaojuan Ma. 2020. Using Information Visualization to Promote Students' Reflection on" Gaming the System" in Online Learning. In Proceedings of the Seventh ACM Conference on Learning@ Scale. 37--49.
[75]
Meng Xia, Mingfei Sun, Huan Wei, Qing Chen, Yong Wang, Lei Shi, Huamin Qu, and Xiaojuan Ma. 2019. Peerlens: Peer-inspired interactive learning path planning in online question pool. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1--12.
[76]
Ziang Xiao, Po-Shiun Ho, Xinran Wang, Karrie Karahalios, and Hari Sundaram. 2019. Should we use an abstract comic form to persuade? Experiments with online charitable donation. Proceedings of the ACM on Human-Computer Interaction, Vol. 3, CSCW (2019), 1--28.
[77]
Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky, and Eduard Hovy. 2019. Let's make your request more persuasive: Modeling persuasive strategies via semi-supervised neural nets on crowdfunding platforms. 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). 3620--3630.
[78]
Diyi Yang and Robert E Kraut. 2017. Persuading teammates to give: Systematic versus heuristic cues for soliciting loans. Proceedings of the ACM on Human-Computer Interaction, Vol. 1, CSCW (2017), 1--21.
[79]
Qian Yang, Aaron Steinfeld, Carolyn Rosé, and John Zimmerman. 2020. Re-examining whether, why, and how human-AI interaction is uniquely difficult to design. In Proceedings of the 2020 chi conference on human factors in computing systems. 1--13.
[80]
Haipeng Zeng, Xingbo Wang, Aoyu Wu, Yong Wang, Quan Li, Alex Endert, and Huamin Qu. 2019. EmoCo: Visual analysis of emotion coherence in presentation videos. IEEE transactions on visualization and computer graphics, Vol. 26, 1 (2019), 927--937.
[81]
Jamie Zhou, Qianzhou Du, Xuan Zhang, Zhilei Qiao, G. Wang, and Weiguo Fan. 2015. Money talks: A predictive model on crowdfunding success using project description.

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cover image Proceedings of the ACM on Human-Computer Interaction
Proceedings of the ACM on Human-Computer Interaction  Volume 6, Issue CSCW2
CSCW
November 2022
8205 pages
EISSN:2573-0142
DOI:10.1145/3571154
Issue’s Table of Contents
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

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Publication History

Published: 11 November 2022
Published in PACMHCI Volume 6, Issue CSCW2

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Author Tags

  1. argumentation learning
  2. educational applications
  3. example-based learning
  4. persuasive strategies

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