Difference between revisions of "Submissions:2024/"
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{{WCNA 2024 Session Submission |
{{WCNA 2024 Session Submission |
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|type=Lecture (15-30 min) |
|type=Lecture (15-30 min) |
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| − | |theme= |
+ | |theme=Community Health, Research |
| + | |abstract=Despite the proliferation of online disinformation, Wikipedia has been described by major news outlets as "the last best place on the internet" (Wired) and "[maybe] the safest place online" (The Washington Post). This presentation will provide a brief history on how Wikipedia has responded to disinformation, as well as explore current practices used by editors to identify and respond to disinformation. The intent of this work is to codify these practices for new and existing editors. To this end, the presentation will also include ideas for how editors might learn to address disinformation, using legitimate peripheral participation (LPP) as a conceptual lens. |
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| − | |abstract=In November 2022, OpenAI released ChatGPT, shifting its most popular generative AI engine into a chat format. Even before the release of ChatGPT, faculty at the University of Mississippi’s Department of Writing and Rhetoric were engaging generative AI tools. Students were introduced to AI tools and given the opportunity to use them to identify sources, understand counterarguments, or revise their writing for improved voice. And each time students engaged with a generative AI tool, they were given space to reflect on the experience. In some cases, students found generative AI helpful, and in other cases, they found it distracting. However, one key issue that students and faculty agreed upon about the use of generative AI for academic writing was that as long as AI outputs could not be linked to reliable sources, their value would be limited. |
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| − | With the rollout of ChatGPT 4.0, OpenAI created plugins. In July 2023 the Wikimedia Foundation sponsored the creation of the Wikipedia plugin for ChatGPT. Although that tool has now been deprecated, it operated from roughly July-November 2023. When entries were made into ChatGPT with the Wikipedia plugin, responses were generated with a link back to relevant Wikipedia pages. With this explicit connection between generative AI output and the world’s largest encyclopedia, would students find this next version of ChatGPT more factual for use in academic projects? |
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| + | (Please note: This research is intended to be part of my graduate dissertation, so the presentation may also include preliminary data.) |
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| − | We present the results of a fall 2023 semester study engaging ChatGPT with Wikipedia plugin. Looking at 111 argument essays written in first-year composition classrooms at an R1 university in the United States, we have examined the sources cited by student writers to answer these research questions: Does college classroom writing produced using ChaptGPT with Wikipedia plugin engage more external sources than writing produced without the plugin? Are those cited sources of higher quality? And does the use of ChatGPT with Wikipedia plugin help writers with source integration? |
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| + | |author=Mee Na Feng |
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| − | |author=Robert Cummings, Guy Krueger, Susan Nicholas, and Susan Wood |
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| − | |username=BobCummings |
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|scholarship=Yes |
|scholarship=Yes |
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| − | |time=30 |
+ | |time=15-30 min |
|livestream=Yes, you may livestream my session |
|livestream=Yes, you may livestream my session |
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| − | |presented=Portions of this paper have been presented at the University of Mississippi, but the entire paper has not yet been presented in its entirety. |
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}} |
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Revision as of 03:37, 31 May 2024
This submission has been noted and is pending review for WikiConference North America 2024.
Title:
Type of session:
- Lecture (15-30 min)
Session theme(s):
- Community Health, Research
Abstract:
Despite the proliferation of online disinformation, Wikipedia has been described by major news outlets as "the last best place on the internet" (Wired) and "[maybe] the safest place online" (The Washington Post). This presentation will provide a brief history on how Wikipedia has responded to disinformation, as well as explore current practices used by editors to identify and respond to disinformation. The intent of this work is to codify these practices for new and existing editors. To this end, the presentation will also include ideas for how editors might learn to address disinformation, using legitimate peripheral participation (LPP) as a conceptual lens.
(Please note: This research is intended to be part of my graduate dissertation, so the presentation may also include preliminary data.)
Author name(s):
Wikimedia username(s):
E-mail address:
- mfeng24
uic.edu
Affiliated organization(s):
- University of Illinois at Chicago
Able to attend without scholarship?
- Yes
Estimated length of session
- 15-30 min
Will you be presenting remotely?
Okay to livestream?
- Livestreaming is okay
Previously presented?
Special requests: