Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions
K. J. Kevin Feng, Nick Ritchie, Pia Blumenthal, Andy Parsons, Amy X., Zhang

TL;DR
This study investigates how provenance information affects user trust and perception of media accuracy on social media, revealing that provenance can both clarify and confuse users, impacting their trust in visual content.
Contribution
It provides empirical insights into user responses to provenance data, highlighting design challenges and implications for developing effective provenance indicators for laypeople.
Findings
Provenance information often reduces trust in deceptive media.
Incomplete or invalid provenance data can lead to disbelieving honest media.
Users confuse media credibility with provenance credibility.
Abstract
In recent years, industry leaders and researchers have proposed to use technical provenance standards to address visual misinformation spread through digitally altered media. By adding immutable and secure provenance information such as authorship and edit date to media metadata, social media users could potentially better assess the validity of the media they encounter. However, it is unclear how end users would respond to provenance information, or how to best design provenance indicators to be understandable to laypeople. We conducted an online experiment with 595 participants from the US and UK to investigate how provenance information altered users' accuracy perceptions and trust in visual content shared on social media. We found that provenance information often lowered trust and caused users to doubt deceptive media, particularly when it revealed that the media was composited. We…
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Taxonomy
TopicsMisinformation and Its Impacts · Ethics and Social Impacts of AI
