Abstract

Trust plays an important role in helping online users collect reliable information, and has attracted increasing attention in recent years. We learn from social sciences that, as the conceptual counterpart of trust, distrust could be as important as trust. However, little work exists in studying distrust in social media. What is the relationship between trust and distrust? Can we directly apply methodologies from social sciences to study distrust in social media? In this paper, we design two computational tasks by leveraging data mining and machine learning techniques to enable the computational understanding of distrust with social media data. The first task is to predict distrust from only trust, and the second task is to predict trust with distrust. We conduct experiments in real-world social media data. The empirical results of the first task provide concrete evidence to answer the question, "is distrust the negation of trust?" while the results of the second task help us figure out how valuable the use of distrust in trust prediction.

Original languageEnglish (US)
Title of host publicationHT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media
PublisherAssociation for Computing Machinery
Pages148-157
Number of pages10
ISBN (Print)9781450329545
DOIs
StatePublished - 2014
Event25th ACM Conference on Hypertext and Social Media, HT 2014 - Santiago, Chile
Duration: Sep 1 2014Sep 4 2014

Other

Other25th ACM Conference on Hypertext and Social Media, HT 2014
CountryChile
CitySantiago
Period9/1/149/4/14

Fingerprint

Social sciences
Data mining
Learning systems
Experiments

Keywords

  • a new dimension of trust
  • distrust
  • the negation of trust
  • value of distrust

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

Cite this

Tang, J., Hu, X., & Liu, H. (2014). Is distrust the negation of trust? The value of distrust in social media. In HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media (pp. 148-157). Association for Computing Machinery. https://doi.org/10.1145/2631775.2631793

Is distrust the negation of trust? The value of distrust in social media. / Tang, Jiliang; Hu, Xia; Liu, Huan.

HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, 2014. p. 148-157.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tang, J, Hu, X & Liu, H 2014, Is distrust the negation of trust? The value of distrust in social media. in HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, pp. 148-157, 25th ACM Conference on Hypertext and Social Media, HT 2014, Santiago, Chile, 9/1/14. https://doi.org/10.1145/2631775.2631793
Tang J, Hu X, Liu H. Is distrust the negation of trust? The value of distrust in social media. In HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery. 2014. p. 148-157 https://doi.org/10.1145/2631775.2631793
Tang, Jiliang ; Hu, Xia ; Liu, Huan. / Is distrust the negation of trust? The value of distrust in social media. HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, 2014. pp. 148-157
@inproceedings{01a6e4b719eb4bec9dca6a37b976801a,
title = "Is distrust the negation of trust?: The value of distrust in social media",
abstract = "Trust plays an important role in helping online users collect reliable information, and has attracted increasing attention in recent years. We learn from social sciences that, as the conceptual counterpart of trust, distrust could be as important as trust. However, little work exists in studying distrust in social media. What is the relationship between trust and distrust? Can we directly apply methodologies from social sciences to study distrust in social media? In this paper, we design two computational tasks by leveraging data mining and machine learning techniques to enable the computational understanding of distrust with social media data. The first task is to predict distrust from only trust, and the second task is to predict trust with distrust. We conduct experiments in real-world social media data. The empirical results of the first task provide concrete evidence to answer the question, {"}is distrust the negation of trust?{"} while the results of the second task help us figure out how valuable the use of distrust in trust prediction.",
keywords = "a new dimension of trust, distrust, the negation of trust, value of distrust",
author = "Jiliang Tang and Xia Hu and Huan Liu",
year = "2014",
doi = "10.1145/2631775.2631793",
language = "English (US)",
isbn = "9781450329545",
pages = "148--157",
booktitle = "HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media",
publisher = "Association for Computing Machinery",

}

TY - GEN

T1 - Is distrust the negation of trust?

T2 - The value of distrust in social media

AU - Tang, Jiliang

AU - Hu, Xia

AU - Liu, Huan

PY - 2014

Y1 - 2014

N2 - Trust plays an important role in helping online users collect reliable information, and has attracted increasing attention in recent years. We learn from social sciences that, as the conceptual counterpart of trust, distrust could be as important as trust. However, little work exists in studying distrust in social media. What is the relationship between trust and distrust? Can we directly apply methodologies from social sciences to study distrust in social media? In this paper, we design two computational tasks by leveraging data mining and machine learning techniques to enable the computational understanding of distrust with social media data. The first task is to predict distrust from only trust, and the second task is to predict trust with distrust. We conduct experiments in real-world social media data. The empirical results of the first task provide concrete evidence to answer the question, "is distrust the negation of trust?" while the results of the second task help us figure out how valuable the use of distrust in trust prediction.

AB - Trust plays an important role in helping online users collect reliable information, and has attracted increasing attention in recent years. We learn from social sciences that, as the conceptual counterpart of trust, distrust could be as important as trust. However, little work exists in studying distrust in social media. What is the relationship between trust and distrust? Can we directly apply methodologies from social sciences to study distrust in social media? In this paper, we design two computational tasks by leveraging data mining and machine learning techniques to enable the computational understanding of distrust with social media data. The first task is to predict distrust from only trust, and the second task is to predict trust with distrust. We conduct experiments in real-world social media data. The empirical results of the first task provide concrete evidence to answer the question, "is distrust the negation of trust?" while the results of the second task help us figure out how valuable the use of distrust in trust prediction.

KW - a new dimension of trust

KW - distrust

KW - the negation of trust

KW - value of distrust

UR - http://www.scopus.com/inward/record.url?scp=84907384537&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84907384537&partnerID=8YFLogxK

U2 - 10.1145/2631775.2631793

DO - 10.1145/2631775.2631793

M3 - Conference contribution

SN - 9781450329545

SP - 148

EP - 157

BT - HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media

PB - Association for Computing Machinery

ER -