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	<updated>2026-07-21T15:35:22Z</updated>
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	<entry>
		<id>https://wiki.ubc.ca/index.php?title=Course:VANT149/2026/Capstone/Arts/Presentation17&amp;diff=900312</id>
		<title>Course:VANT149/2026/Capstone/Arts/Presentation17</title>
		<link rel="alternate" type="text/html" href="https://wiki.ubc.ca/index.php?title=Course:VANT149/2026/Capstone/Arts/Presentation17&amp;diff=900312"/>
		<updated>2026-07-05T08:39:47Z</updated>

		<summary type="html">&lt;p&gt;CissyLei: /* Put Title Here: Judging News Credibility in the Age of AI */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Presenter: Yuxi Lou, Cissy Lei =&lt;br /&gt;
&lt;br /&gt;
= Judging News Credibility in the Age of AI =&lt;br /&gt;
&lt;br /&gt;
= Type of Presentation: Poster =&lt;br /&gt;
&lt;br /&gt;
==Abstract==&lt;br /&gt;
This project explores how university students and instructors judge the credibility of real news, fake news, and AI-generated news on social media. We are interested in this topic because we noticed even though many people know fake news exists, some people still believe and share the misinformation blindly, and certain social media users may trust false or AI-generated information without careful checking. Previous studies have shown that fake news can spread quickly online because sometimes social media platforms cannot effectively verify information. However, there is still a gap in understanding why real news, fake news and artificial intelligence-generated news affect different users in different ways. Therefore, our research aims to examine how individual differences affect people&#039;s judgment on real news, fake news, and news generated by AI. This leads to our research question: How do university students and instructors judge the credibility of real news, fake news, and Al-generated news-style posts, and what strategies do they use to explain their judgments? Our research method will be qualitative,  we would invite approximately 6 participants, including 3 first year Vantage Arts students and 3 instructors. And we plan to show the participants a real news, a fake news, and news generated by ChatGPT. Then ask participants whether they think this post is real, fake, or AI-generated through certain questions.  We expect instructors may observe the source and wording, because they have more academic experience. While Vantage students may pay more attention to pictures, typesetting, and layout. Also, AI-generated news-style posts may create the most uncertainty.  The limitation of this study is that the number of participants is small, so the results cannot represent all university students and instructors.&lt;br /&gt;
&lt;br /&gt;
==Biography==&lt;br /&gt;
Yuxi and Cissy are first-year Arts students at UBC. Yuxi enjoys skiing, flying airplanes, and travelling. Cissy enjoys reading, watching films, and photography. Both of them are interested in fake news and social media, especially how different experiences shape people’s judgments and perspectives. Therefore, their shared interest prompts them to examine their proposed project, which explores how do  people judge the credibility of real news, fake news, and Al-generated news-style posts, and what strategies do they use to explain their judgments.&lt;br /&gt;
[[Category:Vantage College Capstone Conference]]&lt;br /&gt;
[[Category:Vantage College Arts]]&lt;/div&gt;</summary>
		<author><name>CissyLei</name></author>
	</entry>
	<entry>
		<id>https://wiki.ubc.ca/index.php?title=Course:VANT149/2026/Capstone/Arts/Presentation17&amp;diff=900311</id>
		<title>Course:VANT149/2026/Capstone/Arts/Presentation17</title>
		<link rel="alternate" type="text/html" href="https://wiki.ubc.ca/index.php?title=Course:VANT149/2026/Capstone/Arts/Presentation17&amp;diff=900311"/>
		<updated>2026-07-05T08:37:29Z</updated>

		<summary type="html">&lt;p&gt;CissyLei: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Presenter: Yuxi Lou, Cissy Lei =&lt;br /&gt;
&lt;br /&gt;
= Put Title Here: Judging News Credibility in the Age of AI =&lt;br /&gt;
&lt;br /&gt;
= Type of Presentation: Poster =&lt;br /&gt;
&lt;br /&gt;
==Abstract==&lt;br /&gt;
This project explores how university students and instructors judge the credibility of real news, fake news, and AI-generated news on social media. We are interested in this topic because we noticed even though many people know fake news exists, some people still believe and share the misinformation blindly, and certain social media users may trust false or AI-generated information without careful checking. Previous studies have shown that fake news can spread quickly online because sometimes social media platforms cannot effectively verify information. However, there is still a gap in understanding why real news, fake news and artificial intelligence-generated news affect different users in different ways. Therefore, our research aims to examine how individual differences affect people&#039;s judgment on real news, fake news, and news generated by AI. This leads to our research question: How do university students and instructors judge the credibility of real news, fake news, and Al-generated news-style posts, and what strategies do they use to explain their judgments? Our research method will be qualitative,  we would invite approximately 6 participants, including 3 first year Vantage Arts students and 3 instructors. And we plan to show the participants a real news, a fake news, and news generated by ChatGPT. Then ask participants whether they think this post is real, fake, or AI-generated through certain questions.  We expect instructors may observe the source and wording, because they have more academic experience. While Vantage students may pay more attention to pictures, typesetting, and layout. Also, AI-generated news-style posts may create the most uncertainty.  The limitation of this study is that the number of participants is small, so the results cannot represent all university students and instructors.&lt;br /&gt;
&lt;br /&gt;
==Biography==&lt;br /&gt;
Yuxi and Cissy are first-year Arts students at UBC. Yuxi enjoys skiing, flying airplanes, and travelling. Cissy enjoys reading, watching films, and photography. Both of them are interested in fake news and social media, especially how different experiences shape people’s judgments and perspectives. Therefore, their shared interest prompts them to examine their proposed project, which explores how do  people judge the credibility of real news, fake news, and Al-generated news-style posts, and what strategies do they use to explain their judgments.&lt;br /&gt;
[[Category:Vantage College Capstone Conference]]&lt;br /&gt;
[[Category:Vantage College Arts]]&lt;/div&gt;</summary>
		<author><name>CissyLei</name></author>
	</entry>
	<entry>
		<id>https://wiki.ubc.ca/index.php?title=Course:VANT149/2026/Capstone/Arts/Presentation17&amp;diff=896864</id>
		<title>Course:VANT149/2026/Capstone/Arts/Presentation17</title>
		<link rel="alternate" type="text/html" href="https://wiki.ubc.ca/index.php?title=Course:VANT149/2026/Capstone/Arts/Presentation17&amp;diff=896864"/>
		<updated>2026-05-22T21:59:58Z</updated>

		<summary type="html">&lt;p&gt;CissyLei: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Presenter: Yuxi Lou, Cissy Lei =&lt;br /&gt;
&lt;br /&gt;
= Put Title Here: A Proposed Study of How Does Fake News Impact People&#039;s Political Beliefs? =&lt;br /&gt;
&lt;br /&gt;
==Type of Presentation: Poster==&lt;br /&gt;
&lt;br /&gt;
==Abstract==&lt;br /&gt;
This project explores how fake news may shape political beliefs in the context of the 2016 U.S. election. We are interested in this topic because certain social media users may trust false political information blindly. Previous research suggests that fake news will be produced by bots and spread fast, because sometimes social media platforms fail to fact-check. However, there is still a gap in understanding why fake news and misinformation affects some users more than others. Therefore, our study aims to examine how individual differences shape people’s judgment and response to false information. This leads to our research question: Why does fake news on social media still influence users with different political identities, although the overall impact of fake news is limited during the 2016 U.S. election? The research method will be qualitative, focusing on 10-20 confirmed political fake news stories from verification websites. We will analyze related public comments, replies, posts from public platforms such as Reddit, Facebook, and X,  exploring how users express their viewpoints and whether they trust fake news. We expect the findings may show which expression, positions, and background information appear more frequently among users who trust false information. This study is limited to online data, so it does not include audiences who did not post their viewpoints online.&lt;br /&gt;
&lt;br /&gt;
==Biography==&lt;br /&gt;
Yuxi and Cissy are first-year Arts students at UBC. Yuxi enjoys skiing, flying airplanes, and travelling. Cissy enjoys reading, watching films, and photography. Both of them are interested in social media and political science, especially how different experiences shape people’s political perspectives. Therefore, their shared interest prompts them to examine their proposed project, which explores how fake news may shape political beliefs during the 2016 U.S. election.&lt;br /&gt;
[[Category:Vantage College Capstone Conference]]&lt;br /&gt;
[[Category:Vantage College Arts]]&lt;/div&gt;</summary>
		<author><name>CissyLei</name></author>
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