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        <title>Enabling Cross-Platform Comparison of Online Communities Using Content and Opinion Similarity</title>
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        <namePart type="given">Prasanna</namePart>
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        <namePart type="given">Jeng-Yu</namePart>
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    <abstract>With the continuous growth of online communities, understanding their similarities and dissimilarities is more crucial than ever for enhancing digital interactions, maintaining healthy interactions, and improving content recommendation and moderation systems. In this work, we present two novel techniques: BOTS for finding similarity between online communities based on their opinion, and Emb-PSR for finding similarity in the content they post. To facilitate finding the similarity based on opinion, we model the opinions on online communities using upvotes and downvotes as an indicator for community approval. Our results demonstrate that BOTS and Emb-PSR outperform existing techniques at their individual tasks while also being flexible enough to allow for cross-platform comparison of online communities. We demonstrate this novel cross-platform capability by comparing GAB with various subreddits.</abstract>
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%0 Conference Proceedings
%T Enabling Cross-Platform Comparison of Online Communities Using Content and Opinion Similarity
%A Subramanyam, Prasanna Lakkur
%A Chou, Jeng-Yu
%A Nam, Kevin
%A Levine, Brian
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F subramanyam-etal-2024-enabling
%X With the continuous growth of online communities, understanding their similarities and dissimilarities is more crucial than ever for enhancing digital interactions, maintaining healthy interactions, and improving content recommendation and moderation systems. In this work, we present two novel techniques: BOTS for finding similarity between online communities based on their opinion, and Emb-PSR for finding similarity in the content they post. To facilitate finding the similarity based on opinion, we model the opinions on online communities using upvotes and downvotes as an indicator for community approval. Our results demonstrate that BOTS and Emb-PSR outperform existing techniques at their individual tasks while also being flexible enough to allow for cross-platform comparison of online communities. We demonstrate this novel cross-platform capability by comparing GAB with various subreddits.
%U https://aclanthology.org/2024.findings-emnlp.586
%P 10017-10028

Markdown (Informal)

[Enabling Cross-Platform Comparison of Online Communities Using Content and Opinion Similarity](https://aclanthology.org/2024.findings-emnlp.586) (Subramanyam et al., Findings 2024)

• Enabling Cross-Platform Comparison of Online Communities Using Content and Opinion Similarity (Subramanyam et al., Findings 2024)

ACL

• Prasanna Lakkur Subramanyam, Jeng-Yu Chou, Kevin Nam, and Brian Levine. 2024. Enabling Cross-Platform Comparison of Online Communities Using Content and Opinion Similarity. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 10017–10028, Miami, Florida, USA. Association for Computational Linguistics.