Information Fortification: An Online Citation Behavior
dc.contributor.author | Forte, Andrea | |
dc.contributor.author | Andalibi, Nazanin | |
dc.contributor.author | Gorichanaz, Tim | |
dc.contributor.author | Kim, Meen Chul | |
dc.contributor.author | Park, Thomas | |
dc.contributor.author | Halfaker, Aaron | |
dc.date.accessioned | 2023-03-17T22:49:06Z | |
dc.date.available | 2023-03-17T22:49:06Z | |
dc.date.issued | 2018 | |
dc.description.abstract | In this multi-method study, we examine citation activity on English-language Wikipedia to understand how information claims are supported in a non-scientific open collaboration context. We draw on three data sources-edit logs, interview data, and document analysis-to present an integrated interpretation of citation activity and found pervasive themes related to controversy and conflict. Based on this analysis, we present and discuss information fortification as a concept that explains online citation activity that arises from both naturally occurring and manufactured forms of controversy. This analysis challenges a workshop position paper from Group 2005 by Forte and Bruckman, which draws on Latour's sociology of science and citation to explain citation in Wikipedia with a focus on credibility seeking. We discuss how information fortification differs from theories of citation that have arisen from bibliometrics scholarship and are based on scientific citation practices. | en |
dc.identifier.doi | 10.1145/3148330.3148347 | |
dc.identifier.uri | https://dl.eusset.eu/handle/20.500.12015/4644 | |
dc.language.iso | en | |
dc.publisher | Association for Computing Machinery | |
dc.relation.ispartof | Proceedings of the 2018 ACM International Conference on Supporting Group Work | |
dc.subject | bibliometics | |
dc.subject | open collaboration | |
dc.subject | citation | |
dc.subject | wikipedia | |
dc.title | Information Fortification: An Online Citation Behavior | en |
dc.type | Text/Conference Paper | |
gi.citation.startPage | 83–92 | |
gi.citations.count | 8 | |
gi.citations.element | Jutta Haider, Olof Sundin (2020): Wikipedia and Wikis, In: The Handbook of Peer Production, doi:10.1002/9781119537151.ch13 | |
gi.citations.element | Aitolkyn Baigutanova, Jaehyeon Myung, Diego Saez-Trumper, Ai-Jou Chou, Miriam Redi, Changwook Jung, Meeyoung Cha (2023): Longitudinal Assessment of Reference Quality on Wikipedia, In: Proceedings of the ACM Web Conference 2023, doi:10.1145/3543507.3583218 | |
gi.citations.element | Puyu Yang, Giovanni Colavizza (2024): Polarization and reliability of news sources in Wikipedia, In: Online Information Review 5(48), doi:10.1108/oir-02-2023-0084 | |
gi.citations.element | Giovanni Colavizza (2020): COVID-19 research in Wikipedia, In: Quantitative Science Studies 4(1), doi:10.1162/qss_a_00080 | |
gi.citations.element | Dana McKay, Stephann Makri, George Buchanan (2024): [citation needed]: An Examination of Types and Purpose of Evidence Provided in Three Online Discussions on Reddit, In: Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, doi:10.1145/3627508.3638321 | |
gi.citations.element | Giovanni Colavizza (2020): COVID-19 research in Wikipedia, doi:10.1101/2020.05.10.087643 | |
gi.citations.element | Miriam Redi, Besnik Fetahu, Jonathan Morgan, Dario Taraborelli (2019): Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability, In: The World Wide Web Conference, doi:10.1145/3308558.3313618 | |
gi.citations.element | Harshdeep Singh, Robert West, Giovanni Colavizza (2021): Wikipedia citations: A comprehensive data set of citations with identifiers extracted from English Wikipedia, In: Quantitative Science Studies 1(2), doi:10.1162/qss_a_00105 | |
gi.conference.location | Sanibel Island, Florida, USA |