Name
Abstract | ||
|---|---|---|
Traditional news outlets as carriers and distributors of information have been challenged by online social networks with regards to their gate-keeping function. We believe that only a combined effort of people and machines will be able to curb so-called “fake news” at scale in a decentralized Web. In this position paper, we propose an approach to design social machines that coordinate human- and machine-driven credibility assessment of information on a decentralized Web. To this end, we defined a fact-checking process that draws upon ongoing efforts for tackling disinformation on the Web, and we formalized this process as a multi-agent organisation for curating W3C Web Annotations. We present the current state of our prototypical implementation in the form of a browser plugin that builds on the Hypothesis annotation platform and the JaCaMo multi-agent platform. Our social machines would span across the Web to enable collaboration in form of public discourse, thereby increasing the transparency and accountability of information.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3366424.3385770 | WWW '20: The Web Conference 2020
Taipei
Taiwan
April, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-7024-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonia Wild | 1 | 0 | 0.34 |
| Andrei Ciortea | 2 | 2 | 4.44 |
| Mayer, Simon | 3 | 251 | 29.78 |