@inproceedings{perera-etal-2024-principles,
title = "Principles for {AI}-Assisted Social Influence and Their Application to Social Mediation",
author = "Perera, Ian and
Memory, Alex and
Kazakova, Vera A. and
Dorr, Bonnie J. and
Mather, Brodie and
Bose, Ritwik and
Mahyari, Arash and
Lofdahl, Corey and
Blackburn, Mack S. and
Bhatia, Archna and
Patterson, Brandon and
Pirolli, Peter",
editor = "Hale, James and
Chawla, Kushal and
Garg, Muskan",
booktitle = "Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024)",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.sicon-1.9",
pages = "129--140",
abstract = "Successful social influence, whether at individual or community levels, requires expertise and care in several dimensions of communication: understanding of emotions, beliefs, and values; transparency; and context-aware behavior shaping. Based on our experience in identifying mediation needs in social media and engaging with moderators and users, we developed a set of principles that we believe social influence systems should adhere to to ensure ethical operation, effectiveness, widespread adoption, and trust by users on both sides of the engagement of influence. We demonstrate these principles in D-ESC: Dialogue Assistant for Engaging in Social-Cybermediation, in the context of AI-assisted social media mediation, a newer paradigm of automatic moderation that responds to unique and changing communities while engendering and maintaining trust in users, moderators, and platform-holders. Through this case study, we identify opportunities for our principles to guide future systems towards greater opportunities for positive social change.",
}
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<abstract>Successful social influence, whether at individual or community levels, requires expertise and care in several dimensions of communication: understanding of emotions, beliefs, and values; transparency; and context-aware behavior shaping. Based on our experience in identifying mediation needs in social media and engaging with moderators and users, we developed a set of principles that we believe social influence systems should adhere to to ensure ethical operation, effectiveness, widespread adoption, and trust by users on both sides of the engagement of influence. We demonstrate these principles in D-ESC: Dialogue Assistant for Engaging in Social-Cybermediation, in the context of AI-assisted social media mediation, a newer paradigm of automatic moderation that responds to unique and changing communities while engendering and maintaining trust in users, moderators, and platform-holders. Through this case study, we identify opportunities for our principles to guide future systems towards greater opportunities for positive social change.</abstract>
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%0 Conference Proceedings
%T Principles for AI-Assisted Social Influence and Their Application to Social Mediation
%A Perera, Ian
%A Memory, Alex
%A Kazakova, Vera A.
%A Dorr, Bonnie J.
%A Mather, Brodie
%A Bose, Ritwik
%A Mahyari, Arash
%A Lofdahl, Corey
%A Blackburn, Mack S.
%A Bhatia, Archna
%A Patterson, Brandon
%A Pirolli, Peter
%Y Hale, James
%Y Chawla, Kushal
%Y Garg, Muskan
%S Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024)
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F perera-etal-2024-principles
%X Successful social influence, whether at individual or community levels, requires expertise and care in several dimensions of communication: understanding of emotions, beliefs, and values; transparency; and context-aware behavior shaping. Based on our experience in identifying mediation needs in social media and engaging with moderators and users, we developed a set of principles that we believe social influence systems should adhere to to ensure ethical operation, effectiveness, widespread adoption, and trust by users on both sides of the engagement of influence. We demonstrate these principles in D-ESC: Dialogue Assistant for Engaging in Social-Cybermediation, in the context of AI-assisted social media mediation, a newer paradigm of automatic moderation that responds to unique and changing communities while engendering and maintaining trust in users, moderators, and platform-holders. Through this case study, we identify opportunities for our principles to guide future systems towards greater opportunities for positive social change.
%U https://aclanthology.org/2024.sicon-1.9
%P 129-140
Markdown (Informal)
[Principles for AI-Assisted Social Influence and Their Application to Social Mediation](https://aclanthology.org/2024.sicon-1.9) (Perera et al., SICon 2024)
ACL
- Ian Perera, Alex Memory, Vera A. Kazakova, Bonnie J. Dorr, Brodie Mather, Ritwik Bose, Arash Mahyari, Corey Lofdahl, Mack S. Blackburn, Archna Bhatia, Brandon Patterson, and Peter Pirolli. 2024. Principles for AI-Assisted Social Influence and Their Application to Social Mediation. In Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024), pages 129–140, Miami, Florida, USA. Association for Computational Linguistics.