Journal
WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)
Volume -, Issue -, Pages 933-943Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3178876.3186141
Keywords
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Funding
- NIH BD2K
- DARPA NGS2
- ARO MURI
- IARPA HFC
- ONR CEROSS
- Stanford Data Science Initiative
- SAP Stanford Graduate Fellowship
- NSERC PGS Doctoral grant
- Chan Zuckerberg Biohub
- [IIS-1514268]
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1514268] Funding Source: National Science Foundation
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Users organize themselves into communities on web platforms. These communities can interact with one another, often leading to conflicts and toxic interactions. However, little is known about the mechanisms of interactions between communities and how they Impact users. Here we study intercommunity interactions across 36,000 communities on Reddit, examining cases Where users of one community are mobilized by negative sentiment to comment in another community. We show that such conflicts tend to be initiated by a handful of communities-less than 1% of communities start 74% of conflicts. While conflicts tend to be initiated by highly active community members, they are carried out by significantly less active members. We find that conflicts are marked by formation of echo Chambers, where users primarily talk to other users from their own community. In the long-term, conflicts have adverse effects and reduce the overall activity of users in the targeted communities. Our analysis of user interactions also suggests strategies for mitigating the negative impact of conflicts-such as increasing direct engagement between attackers and defenders. Further, we accurately predict whether a conflict will occur by creating a novel LSTM model that combines graph embeddings, user, community, and text features. This model can be used to create early-warning systems for community moderators to prevent conflicts. Altogether, this work presents a data-driven view of community interactions and conflict, and paves the way towards healthier online communities.
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