Emergent Influence Networks in Good-Faith Online Discussions
- URL: http://arxiv.org/abs/2306.13250v1
- Date: Fri, 23 Jun 2023 00:24:50 GMT
- Title: Emergent Influence Networks in Good-Faith Online Discussions
- Authors: Henry K. Dambanemuya, Daniel Romero, Em\H{o}ke-\'Agnes Horv\'at
- Abstract summary: This study investigates the impact of one's position in the discussion network created via responses to others' arguments on one's persuasiveness in unfacilitated online debates.
We propose a novel framework for measuring the impact of network position on persuasiveness using a combination of social network analysis and machine learning.
- Score: 3.678291991600161
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Town hall-type debates are increasingly moving online, irrevocably
transforming public discourse. Yet, we know relatively little about crucial
social dynamics that determine which arguments are more likely to be
successful. This study investigates the impact of one's position in the
discussion network created via responses to others' arguments on one's
persuasiveness in unfacilitated online debates. We propose a novel framework
for measuring the impact of network position on persuasiveness, using a
combination of social network analysis and machine learning. Complementing
existing studies investigating the effect of linguistic aspects on
persuasiveness, we show that the user's position in a discussion network
influences their persuasiveness online. Moreover, the recognition of successful
persuasion further increases this dominant network position. Our findings offer
important insights into the complex social dynamics of online discourse and
provide practical insights for organizations and individuals seeking to
understand the interplay between influential positions in a discussion network
and persuasive strategies in digital spaces.
Related papers
- Community Shaping in the Digital Age: A Temporal Fusion Framework for Analyzing Discourse Fragmentation in Online Social Networks [45.58331196717468]
This research presents a framework for analyzing the dynamics of online communities in social media platforms.
By combining text classification and dynamic social network analysis, we uncover mechanisms driving community formation and evolution.
arXiv Detail & Related papers (2024-09-18T03:03:02Z) - Opinion Control under Adversarial Network Perturbation: A Stackelberg
Game Approach [12.916992671437017]
adversarial network perturbation greatly influences the opinion formation of the public and threatens our societies.
In this work, we model the adversarial network perturbation and analyze its impact on the networks' opinion.
From the adversary's perspective, we formulate a Stackelberg game and aim to control the network's opinion even under such adversarial network perturbation.
arXiv Detail & Related papers (2023-04-25T03:14:39Z) - Social Influence Dialogue Systems: A Scoping Survey of the Efforts
Towards Influence Capabilities of Dialogue Systems [50.57882213439553]
Social influence dialogue systems are capable of persuasion, negotiation, and therapy.
There exists no formal definition or category for dialogue systems with these skills.
This study serves as a comprehensive reference for social influence dialogue systems to inspire more dedicated research and discussion in this emerging area.
arXiv Detail & Related papers (2022-10-11T17:57:23Z) - Persua: A Visual Interactive System to Enhance the Persuasiveness of
Arguments in Online Discussion [52.49981085431061]
Enhancing people's ability to write persuasive arguments could contribute to the effectiveness and civility in online communication.
We derived four design goals for a tool that helps users improve the persuasiveness of arguments in online discussions.
Persua is an interactive visual system that provides example-based guidance on persuasive strategies to enhance the persuasiveness of arguments.
arXiv Detail & Related papers (2022-04-16T08:07:53Z) - E-ffective: A Visual Analytic System for Exploring the Emotion and
Effectiveness of Inspirational Speeches [57.279044079196105]
E-ffective is a visual analytic system allowing speaking experts and novices to analyze both the role of speech factors and their contribution in effective speeches.
Two novel visualizations include E-spiral (that shows the emotional shifts in speeches in a visually compact way) and E-script (that connects speech content with key speech delivery information.
arXiv Detail & Related papers (2021-10-28T06:14:27Z) - Towards Understanding Persuasion in Computational Argumentation [10.089382889894246]
Opinion formation and persuasion in argumentation are affected by three major factors: the argument itself, the source of the argument, and the properties of the audience.
This thesis makes several contributions to understand the relative effect of the source, audience, and language in computational persuasion.
arXiv Detail & Related papers (2021-10-03T19:36:21Z) - Fragments of the Past: Curating Peer Support with Perpetrators of
Domestic Violence [88.37416552778178]
We report on a ten-month study where we worked with six support workers and eighteen perpetrators in the design and deployment of Fragments of the Past.
We share how crafting digitally-augmented artefacts - 'fragments' - of experiences of desisting from violence can translate messages for motivation and rapport between peers.
These insights provide the basis for practical considerations for future network design with challenging populations.
arXiv Detail & Related papers (2021-07-09T22:57:43Z) - Influence via Ethos: On the Persuasive Power of Reputation in
Deliberation Online [10.652828373995513]
Deliberation among individuals online plays a key role in shaping the opinions that drive votes, purchases, donations and other critical offline behavior.
Our research examines the persuasive power of $textitethos$ -- an individual's "reputation"
We find that an individual's reputation significantly impacts their persuasion rate above and beyond the validity, strength and presentation of their arguments.
arXiv Detail & Related papers (2020-06-01T04:25:40Z) - What Changed Your Mind: The Roles of Dynamic Topics and Discourse in
Argumentation Process [78.4766663287415]
This paper presents a study that automatically analyzes the key factors in argument persuasiveness.
We propose a novel neural model that is able to track the changes of latent topics and discourse in argumentative conversations.
arXiv Detail & Related papers (2020-02-10T04:27:48Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.