Trustworthy Misinformation Mitigation with Soft Information Nudging
Title | Trustworthy Misinformation Mitigation with Soft Information Nudging |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Horne, Benjamin D., Gruppi, Mauricio, Adali, Sibel |
Conference Name | 2019 First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA) |
Keywords | Cognition, Companies, composability, compositionality, Computer science, Computer Theory and Trust, Computing Theory, conspiracy news consumers, conspiracy theories, cyber physical systems, Decision support systems, disinformation, Economics, Feeds, information consumption, information decisions, information sources, information trust, Media, misinformation, misinformation mitigation techniques, news sources, nudge theory, Organizations, pubcrawl, recommendation, recommender systems, Resiliency, Social network services, social networking (online), social recommendation algorithms, soft information nudging, technological solutions, technology solutions, Trust, trust nudging, Trusted Computing, trusted sources, trustworthy misinformation mitigation, Trustworthy Systems |
Abstract | Research in combating misinformation reports many negative results: facts may not change minds, especially if they come from sources that are not trusted. Individuals can disregard and justify lies told by trusted sources. This problem is made even worse by social recommendation algorithms which help amplify conspiracy theories and information confirming one's own biases due to companies' efforts to optimize for clicks and watch time over individuals' own values and public good. As a result, more nuanced voices and facts are drowned out by a continuous erosion of trust in better information sources. Most misinformation mitigation techniques assume that discrediting, filtering, or demoting low veracity information will help news consumers make better information decisions. However, these negative results indicate that some news consumers, particularly extreme or conspiracy news consumers will not be helped. We argue that, given this background, technology solutions to combating misinformation should not simply seek facts or discredit bad news sources, but instead use more subtle nudges towards better information consumption. Repeated exposure to such nudges can help promote trust in better information sources and also improve societal outcomes in the long run. In this article, we will talk about technological solutions that can help us in developing such an approach, and introduce one such model called Trust Nudging. |
DOI | 10.1109/TPS-ISA48467.2019.00039 |
Citation Key | horne_trustworthy_2019 |
- social networking (online)
- misinformation mitigation techniques
- news sources
- nudge theory
- Organizations
- pubcrawl
- recommendation
- recommender systems
- Resiliency
- Social network services
- misinformation
- social recommendation algorithms
- soft information nudging
- technological solutions
- technology solutions
- trust nudging
- Trusted Computing
- trusted sources
- trustworthy misinformation mitigation
- Trustworthy Systems
- cyber physical systems
- trust
- cognition
- Companies
- composability
- Compositionality
- computer science
- Computer Theory and Trust
- conspiracy news consumers
- conspiracy theories
- Computing Theory
- Decision support systems
- disinformation
- Economics
- Feeds
- information consumption
- information decisions
- information sources
- information trust
- Media