When the filter bubble bursts : collective evaluation dynamics in online communities

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2016
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Abisheva, Adiya
Schweitzer, Frank
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WebSci '16 : Proceedings of the 8th ACM Conference on Web Science. New York, NY, United States: Association for Computing Machinery, 2016, pp. 307-308. ISBN 978-1-4503-4208-7. Available under: doi: 10.1145/2908131.2908180
Zusammenfassung

Through the analysis of collective upvotes and downvotes in multiple social media, we discover the bimodal regime of collective evaluations. When online content surpasses the local social context by reaching a threshold of collective attention, negativity grows faster with positivity, which serves as a trace of the burst of a filter bubble. To attain a global audience, we show that emotions expressed in online content has a significant effect and also play a key role in creating polarized opinions.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
320 Politik
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Social filtering, emotions, collective dynamics
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WebSci '16 : ACM Web Science Conference, 22. Mai 2016 - 25. Mai 2016, Hannover, Germany
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Zitieren
ISO 690ABISHEVA, Adiya, David GARCIA, Frank SCHWEITZER, 2016. When the filter bubble bursts : collective evaluation dynamics in online communities. WebSci '16 : ACM Web Science Conference. Hannover, Germany, 22. Mai 2016 - 25. Mai 2016. In: WebSci '16 : Proceedings of the 8th ACM Conference on Web Science. New York, NY, United States: Association for Computing Machinery, 2016, pp. 307-308. ISBN 978-1-4503-4208-7. Available under: doi: 10.1145/2908131.2908180
BibTex
@inproceedings{Abisheva2016filte-59985,
  year={2016},
  doi={10.1145/2908131.2908180},
  title={When the filter bubble bursts : collective evaluation dynamics in online communities},
  isbn={978-1-4503-4208-7},
  publisher={Association for Computing Machinery},
  address={New York, NY, United States},
  booktitle={WebSci '16 : Proceedings of the 8th ACM Conference on Web Science},
  pages={307--308},
  author={Abisheva, Adiya and Garcia, David and Schweitzer, Frank}
}
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