Wikipedia:Wikipedia Signpost/2024-03-29/Recent research: Difference between revisions
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==="Toxic comments are associated with reduced activity" of Wikipedians - but do they cause it?=== |
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<ref>{{Cite journal| doi = 10.1093/pnasnexus/pgad385| issn = 2752-6542| volume = 2| issue = 12| pages = –385| last1 = Smirnov| first1 = Ivan| last2 = Oprea| first2 = Camelia| last3 = Strohmaier| first3 = Markus| others = Katherine Ognyanova (ed.)| title = Toxic comments are associated with reduced activity of volunteer editors on Wikipedia| journal = PNAS Nexus| date = 2023-12-01| url = https://academic.oup.com/pnasnexus/article/doi/10.1093/pnasnexus/pgad385/7457939}}</ref> |
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TKTK |
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===Briefly=== |
===Briefly=== |
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* See the [[mw:Wikimedia Research/Showcase|page of the monthly '''Wikimedia Research Showcase''']] for videos and slides of past presentations. |
* See the [[mw:Wikimedia Research/Showcase|page of the monthly '''Wikimedia Research Showcase''']] for videos and slides of past presentations. |
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* ... |
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===Other recent publications=== |
===Other recent publications=== |
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''Other recent publications that could not be covered in time for this issue include the items listed below. Contributions, whether reviewing or summarizing newly published research, [[m:Research:Newsletter#How to contribute|are always welcome]].'' |
''Other recent publications that could not be covered in time for this issue include the items listed below. Contributions, whether reviewing or summarizing newly published research, [[m:Research:Newsletter#How to contribute|are always welcome]].'' |
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:<small>''Compiled by ...''</small> |
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[[File:High Impact - Wikipedia sources and edit history document two decades of the climate change field - Figure 4.jpg|thumb|center|520px|"Prominent users in the ECC article. A) Top 10 editors, based on edit count. B) User activity timeline of the top 20 users. In green are years of activity for each user. On the bottom are counts of active users per year (out of these 20)." (Figure 4 from the paper)]] |
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===="..."==== |
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===="High Impact: Wikipedia sources and edit history document two decades of the climate change field"==== |
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From the abstract: |
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From the abstract:<ref>{{Cite| publisher = bioRxiv| doi = 10.1101/2023.11.30.569362| last1 = Benjakob| first1 = Omer| last2 = Jouveshomme| first2 = Louise| last3 = Collet| first3 = Matthieu| last4 = Augustoni| first4 = Ariane| last5 = Aviram| first5 = Rona| title = High Impact: Wikipedia sources and edit history document two decades of the climate change field| date = 2023-12-01| url = https://www.biorxiv.org/content/10.1101/2023.11.30.569362v1}}</ref> |
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[...] to understand how [climate change] was represented on English Wikipedia, we deployed a [[mixed methods|mixed-method approach]] on the article for “[[Effects of climate change]]” (ECC), its edit history and references, as well as hundreds of associated articles dealing with climate change in different ways. Using automated tools to scrape data from Wikipedia, we saw new articles were created as climatology-related knowledge grew and permeated into other fields, reflecting a growing body of climate research and growing public interest. Our qualitative textual analysis shows how specific descriptions of climatic phenomena became less hypothetical, reflecting the real-world public debate. The [[Intergovernmental Panel on Climate Change]] (IPCC) had a big impact on content and structure, we found using a bibliometric analysis, and what made this possible, we also discovered through a historical analysis, was the impactful work of just a few editors. This research suggests Wikipedia’s articles documented the real-world events around climate change and its wider acceptance - initially a hypothesis that soon became a regretful reality. Overall, our findings highlight the unique role IPCC reports play in making scientific knowledge about climate change actionable to the public, and underscore Wikipedia’s ability to facilitate access to research. [...] |
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===="..."==== |
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===="From causes to consequences, from chat to crisis. The different climate changes of science and Wikipedia"==== |
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From the abstract: |
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From the abstract:<ref>{{Cite journal| doi = 10.1016/j.envsci.2023.103553| issn = 1462-9011| volume = 148| pages = 103553| last1 = Korte| first1 = Jasper W.| last2 = Bartsch| first2 = Sabine| last3 = Beckmann| first3 = Rasmus| last4 = El Baff| first4 = Roxanne| last5 = Hamm| first5 = Andreas| last6 = Hecking| first6 = Tobias| title = From causes to consequences, from chat to crisis. The different climate changes of science and Wikipedia| journal = Environmental Science & Policy| date = 2023-10-01| url = https://www.sciencedirect.com/science/article/pii/S1462901123002022}}</ref> |
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<blockquote style="padding-left:1.0em; padding-right:1.0em; background-color:#eaf8f4;"> |
<blockquote style="padding-left:1.0em; padding-right:1.0em; background-color:#eaf8f4;"> |
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"Understanding how society reacts to climate change means understanding how different societal subsystems approach the challenge. With the help of a heuristic of systems theory two subsystems of society – science and mass media – are compared with respect to communications about climate change over the last 20 years. With text mining methods metadata of documents from two databases – [[OpenAlex]] and Wikipedia – are generated, analyzed, and visualized. We find substantial differences as well as similarities in the social, factual, and temporal dimensions. [...] This demonstrates for science a discursive shift from causes to consequences and for mass media a shift from chat to crisis. Science shows an ongoing growth process, while the attention of mass media appears cyclical." |
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</blockquote> |
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===="..."==== |
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===="Do popular research topics attract the most social attention? A first proposal based on OpenAlex and Wikipedia"==== |
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From the abstract: |
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From the abstract:<ref>{{Cite journal| doi = 10.5281/zenodo.8390283| title = Do popular research topics attract the most social attention? A first proposal based on OpenAlex and Wikipedia| url = https://zenodo.org/records/8390283}}</ref> |
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<blockquote style="padding-left:1.0em; padding-right:1.0em; background-color:#eaf8f4;"> |
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"[...] The aim of this paper is to [... analyze] whether the research topics of greatest academic interest align with those that attract the most social attention. To this end, the [[OpenAlex]] concepts are explored by comparing their works count with the page views of their respective Wikipedia articles. As a result, a correlation analysis between the two metrics reveals a lack of connection between the two realms.</blockquote> |
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''See also a presentation at the [https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase#November_2023 November 2023 Wikimedia Research Showcase]'' |
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===="Collaborating in Public: How Openess Shapes Global Warming Articles in Wikipedia"==== |
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From the abstract:<ref>{{Cite paper| publisher = Carnegie Mellon University| last = Cooke| first = Ana| title = Collaborating in Public: How Openess Shapes Global Warming Articles in Wikipedia| date = 2018-05-01| url = https://kilthub.cmu.edu/articles/thesis/Collaborating_in_Public_How_Openess_Shapes_Global_Warming_Articles_in_Wikipedia/6715181/1}} (published online 2023)</ref> |
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<blockquote style="padding-left:1.0em; padding-right:1.0em; background-color:#eaf8f4;"> |
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[...] I trace how the global warming-related articles in Wikipedia changed over time, particularly in the wake of the publication of the 2007 International Panel on Climate Change Fourth Assessment Report. [...] I trace how Wikipedians enact genre in an unstable environment by analyzing how arguments unfold in Wikipedia talk pages, how the article text and citations change, as well as the larger network of global warming-related articles. [...] In chapter 2, I find that Wikipedians’ arguments create boundaries around the discursive spheres that can be cited within different articles, which suggests the significance of arguments not only about the topic but about genre as a deliberative resource in networked discourse. In chapter 3, I find that editors’ work in enacting genre results in facts becoming more at issue, or destabilized, within articles through the course of 2007. This analysis suggests that arguments about genre, and the easy availability of circulating texts online, may challenge consensus about controversial issues. In chapter 4, I use argument and network analysis to trace both Article for Deletion discussions and also the larger ecosystem of articles about global warming. This analysis shows how the talk page and article editing practices that I trace in earlier chapters become sedimented within the site’s information architecture, shaping what Internet users may learn about the issue. [...]</blockquote> |
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====Higher-quality environmental articles "have more editors and edits, are longer, and contain more references, as well as a higher ratio of references to words"==== |
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From the abstract:<ref>{{Cite conference| publisher = In Review| last1 = Petiška| first1 = Eduard| last2 = Kuběna| first2 = Aleš| last3 = Dressler| first3 = Michal| title = What does the data analysis of 7,048 environmental articles tell us about the quality of Wikipedia?|date = 2024-01-15| url = https://www.researchsquare.com/article/rs-3830157/v2}}</ref> |
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<blockquote style="padding-left:1.0em; padding-right:1.0em; background-color:#eaf8f4;"> |
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"Wikipedia articles are categorized into different levels of quality, so we analyzed all 7,048 environmental articles in the Environment Assessment project on English-language Wikipedia. Based on a review of literature, we selected indicators of information quality (number of editors, number of edits, article length, number of references, and the ratio of references to words) and tested the correlation between these indicators and quality perception in the Wikipedia Assessment project. We found that articles perceived as higher quality typically have more editors and edits, are longer, and contain more references, as well as a higher ratio of references to words"</blockquote> |
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===="Using Wikipedia Pageview Data to Investigate Public Interest in Climate Change at a Global Scale"==== |
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From the abstract:<ref>{{Cite journal| last = Meier| first = Florian Maximilian| title = Using Wikipedia Pageview Data to Investigate Public Interest in Climate Change at a Global Scale| journal = ACM Web Science Conference (Websci'24)| date = 2024 | url = https://vbn.aau.dk/en/publications/using-wikipedia-pageview-data-to-investigate-public-interest-in-c }}</ref> |
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<blockquote style="padding-left:1.0em; padding-right:1.0em; background-color:#eaf8f4;"> |
<blockquote style="padding-left:1.0em; padding-right:1.0em; background-color:#eaf8f4;"> |
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"[...] This study examines global engagement with climate change and related concepts through an analysis of around 517 Million Wikipedia pageviews of 3965 items from WikiProject Climate Change across 213 countries in the years 2017 to 2022. We take advantage of Wikimedia Foundation's differentially-private daily pageview dataset, which makes it possible to study Wikipedia viewing behavior in a language edition agnostic way and on a per-country basis. Temporal analysis reveals a stagnant engagement with climate change articles, contrary to societal trends, possibly due to the attitude-behavior gap. We also found substantial regional differences, with countries from the global north displaying greater traffic compared to the global south. Specific events, notably Greta Thunberg's speech at the UN climate summit in 2019, drive peaks in climate change engagement [...]. However, causal time series analyses show that events like these do not lead to long-lasting increased traffic."</blockquote> |
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...</blockquote> |
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===References=== |
===References=== |
Revision as of 08:17, 29 March 2024
Article display preview: | This is a draft of a potential Signpost article, and should not be interpreted as a finished piece. Its content is subject to review by the editorial team and ultimately by JPxG, the editor in chief. Please do not link to this draft as it is unfinished and the URL will change upon publication. If you would like to contribute and are familiar with the requirements of a Signpost article, feel free to be bold in making improvements!
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YOUR ARTICLE'S DESCRIPTIVE TITLE HERE
A monthly overview of recent academic research about Wikipedia and other Wikimedia projects, also published as the Wikimedia Research Newsletter.
"Toxic comments are associated with reduced activity" of Wikipedians - but do they cause it?
[1] TKTK
Briefly
- See the page of the monthly Wikimedia Research Showcase for videos and slides of past presentations.
Other recent publications
Other recent publications that could not be covered in time for this issue include the items listed below. Contributions, whether reviewing or summarizing newly published research, are always welcome.
"High Impact: Wikipedia sources and edit history document two decades of the climate change field"
From the abstract:[2]
[...] to understand how [climate change] was represented on English Wikipedia, we deployed a mixed-method approach on the article for “Effects of climate change” (ECC), its edit history and references, as well as hundreds of associated articles dealing with climate change in different ways. Using automated tools to scrape data from Wikipedia, we saw new articles were created as climatology-related knowledge grew and permeated into other fields, reflecting a growing body of climate research and growing public interest. Our qualitative textual analysis shows how specific descriptions of climatic phenomena became less hypothetical, reflecting the real-world public debate. The Intergovernmental Panel on Climate Change (IPCC) had a big impact on content and structure, we found using a bibliometric analysis, and what made this possible, we also discovered through a historical analysis, was the impactful work of just a few editors. This research suggests Wikipedia’s articles documented the real-world events around climate change and its wider acceptance - initially a hypothesis that soon became a regretful reality. Overall, our findings highlight the unique role IPCC reports play in making scientific knowledge about climate change actionable to the public, and underscore Wikipedia’s ability to facilitate access to research. [...]
"From causes to consequences, from chat to crisis. The different climate changes of science and Wikipedia"
From the abstract:[3]
"Understanding how society reacts to climate change means understanding how different societal subsystems approach the challenge. With the help of a heuristic of systems theory two subsystems of society – science and mass media – are compared with respect to communications about climate change over the last 20 years. With text mining methods metadata of documents from two databases – OpenAlex and Wikipedia – are generated, analyzed, and visualized. We find substantial differences as well as similarities in the social, factual, and temporal dimensions. [...] This demonstrates for science a discursive shift from causes to consequences and for mass media a shift from chat to crisis. Science shows an ongoing growth process, while the attention of mass media appears cyclical."
"Do popular research topics attract the most social attention? A first proposal based on OpenAlex and Wikipedia"
From the abstract:[4]
"[...] The aim of this paper is to [... analyze] whether the research topics of greatest academic interest align with those that attract the most social attention. To this end, the OpenAlex concepts are explored by comparing their works count with the page views of their respective Wikipedia articles. As a result, a correlation analysis between the two metrics reveals a lack of connection between the two realms.
See also a presentation at the November 2023 Wikimedia Research Showcase
"Collaborating in Public: How Openess Shapes Global Warming Articles in Wikipedia"
From the abstract:[5]
[...] I trace how the global warming-related articles in Wikipedia changed over time, particularly in the wake of the publication of the 2007 International Panel on Climate Change Fourth Assessment Report. [...] I trace how Wikipedians enact genre in an unstable environment by analyzing how arguments unfold in Wikipedia talk pages, how the article text and citations change, as well as the larger network of global warming-related articles. [...] In chapter 2, I find that Wikipedians’ arguments create boundaries around the discursive spheres that can be cited within different articles, which suggests the significance of arguments not only about the topic but about genre as a deliberative resource in networked discourse. In chapter 3, I find that editors’ work in enacting genre results in facts becoming more at issue, or destabilized, within articles through the course of 2007. This analysis suggests that arguments about genre, and the easy availability of circulating texts online, may challenge consensus about controversial issues. In chapter 4, I use argument and network analysis to trace both Article for Deletion discussions and also the larger ecosystem of articles about global warming. This analysis shows how the talk page and article editing practices that I trace in earlier chapters become sedimented within the site’s information architecture, shaping what Internet users may learn about the issue. [...]
Higher-quality environmental articles "have more editors and edits, are longer, and contain more references, as well as a higher ratio of references to words"
From the abstract:[6]
"Wikipedia articles are categorized into different levels of quality, so we analyzed all 7,048 environmental articles in the Environment Assessment project on English-language Wikipedia. Based on a review of literature, we selected indicators of information quality (number of editors, number of edits, article length, number of references, and the ratio of references to words) and tested the correlation between these indicators and quality perception in the Wikipedia Assessment project. We found that articles perceived as higher quality typically have more editors and edits, are longer, and contain more references, as well as a higher ratio of references to words"
"Using Wikipedia Pageview Data to Investigate Public Interest in Climate Change at a Global Scale"
From the abstract:[7]
"[...] This study examines global engagement with climate change and related concepts through an analysis of around 517 Million Wikipedia pageviews of 3965 items from WikiProject Climate Change across 213 countries in the years 2017 to 2022. We take advantage of Wikimedia Foundation's differentially-private daily pageview dataset, which makes it possible to study Wikipedia viewing behavior in a language edition agnostic way and on a per-country basis. Temporal analysis reveals a stagnant engagement with climate change articles, contrary to societal trends, possibly due to the attitude-behavior gap. We also found substantial regional differences, with countries from the global north displaying greater traffic compared to the global south. Specific events, notably Greta Thunberg's speech at the UN climate summit in 2019, drive peaks in climate change engagement [...]. However, causal time series analyses show that events like these do not lead to long-lasting increased traffic."
References
- ^ Smirnov, Ivan; Oprea, Camelia; Strohmaier, Markus (2023-12-01). "Toxic comments are associated with reduced activity of volunteer editors on Wikipedia". PNAS Nexus. 2 (12). Katherine Ognyanova (ed.): –385. doi:10.1093/pnasnexus/pgad385. ISSN 2752-6542.
- ^ Benjakob, Omer; Jouveshomme, Louise; Collet, Matthieu; Augustoni, Ariane; Aviram, Rona (2023-12-01), High Impact: Wikipedia sources and edit history document two decades of the climate change field, bioRxiv, doi:10.1101/2023.11.30.569362
- ^ Korte, Jasper W.; Bartsch, Sabine; Beckmann, Rasmus; El Baff, Roxanne; Hamm, Andreas; Hecking, Tobias (2023-10-01). "From causes to consequences, from chat to crisis. The different climate changes of science and Wikipedia". Environmental Science & Policy. 148: 103553. doi:10.1016/j.envsci.2023.103553. ISSN 1462-9011.
- ^ "Do popular research topics attract the most social attention? A first proposal based on OpenAlex and Wikipedia". doi:10.5281/zenodo.8390283.
{{cite journal}}
: Cite journal requires|journal=
(help) - ^ Cooke, Ana (2018-05-01). "Collaborating in Public: How Openess Shapes Global Warming Articles in Wikipedia". Carnegie Mellon University.
{{cite journal}}
: Cite journal requires|journal=
(help) (published online 2023) - ^ Petiška, Eduard; Kuběna, Aleš; Dressler, Michal (2024-01-15). What does the data analysis of 7,048 environmental articles tell us about the quality of Wikipedia?. In Review.
- ^ Meier, Florian Maximilian (2024). "Using Wikipedia Pageview Data to Investigate Public Interest in Climate Change at a Global Scale". ACM Web Science Conference (Websci'24).
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