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<Title>People use the Internet to diagnose themselves&#8212;Can this UMBC student&#8217;s work help moderate medical content on the web?</Title>
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<![CDATA[
    <div class="html-content"><p>In 2024, information systems Ph.D. student <span><a href="https://knacc.umbc.edu/people/students/ommo-clark/" rel="nofollow external" class="bo">Ommo Clark</a></span> penned an <strong><span><a href="https://businessday.ng/life/article/why-do-we-self-medicate/" rel="nofollow external" class="bo">opinion piece</a></span> </strong>for BusinessDay Nigeria exploring why many Nigerians diagnose and treat their medical conditions themselves, often turning to unreliable online information.</p><p>While the essay was inspired by firsthand experiences in her native country, the impulse to consult “Dr. Google” is a worrying global trend, Clark says, and one that has motivated her Ph.D. work. It’s unlikely that people will stop going online with health questions, so Clark is researching ways that AI could help patients, healthcare providers, public health officials, and content platforms better understand and evaluate the sea of medically related content on the Internet.</p><p><span>Ommo’s efforts were recently recognized when one of her research papers, co-authored with information systems professor </span><span><a href="https://karuna.informationsystems.umbc.edu/" rel="nofollow external" class="bo">Karuna Joshi</a></span><span>, won the Best Student Paper Award at the </span><span><strong><a href="https://services.conferences.computer.org/2025/icdh/" rel="nofollow external" class="bo">IEEE International Conference on Digital Health 2025</a></strong></span><span>, held in July in Helsinki, Finland. The paper, titled “</span><span><strong><a href="https://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach" rel="nofollow external" class="bo">Real-Time Detection of Online Health Misinformation using an Integrated Knowledgegraph-LLM Approach</a></strong></span><span>,” describes the results of combining two types of AI approaches</span><span> to tackle the problem of identifying online health misinformation.</span></p><p><span>Read more about their work in this <a href="https://umbc.edu/stories/ai-moderating-online-medical-information/" rel="nofollow external" class="bo">UMBC News article</a>.</span></p></div>
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<Summary>In 2024, information systems Ph.D. student Ommo Clark penned an opinion piece for BusinessDay Nigeria exploring why many Nigerians diagnose and treat their medical conditions themselves, often...</Summary>
<Website>https://umbc.edu/stories/ai-moderating-online-medical-information/</Website>
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<PostedAt>Sun, 17 Aug 2025 17:22:27 -0400</PostedAt>
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<NewsItem contentIssues="false" id="151217" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/151217">
<Title>UMBC PhD student Ommo Clark wins best paper award with Karuna Joshi</Title>
<Tagline>Detecting misinformation with LLMs and Knowledge Graphs</Tagline>
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<![CDATA[
    <div class="html-content">A research paper by UMBC Information Systems PhD student <a href="https://knacc.umbc.edu/people/students/ommo-clark/" rel="nofollow external" class="bo"><strong>Ommo Clark</strong></a> co-authored with her advisor Professor <a href="https://knacc.umbc.edu/karuna-pande-joshi/" rel="nofollow external" class="bo"><strong>Karuna Joshi</strong></a> received the Best Student Paper award at the <a href="https://services.conferences.computer.org/2025/icdh/" rel="nofollow external" class="bo"><strong>IEEE International Conference on Digital Health</strong></a> held earlier this month in Helsinki as part of the IEEE Services Congress.<div><br></div><div>The paper addressed the problem of identifying <span>health misinformation on social media platforms, which </span><span>poses a threat to public health by contributing to hesitancy in vaccines, delayed medical interventions, and the adoption of untested or harmful treatments. </span></div><div><br></div><div>Clark and Joshi evaluated their hybrid approach to combining LLM and knowledge-graph technologies on a dataset of Reddit posts discussing chronic health conditions, and showed the benefits compared to models that only use text or knowledge-graphs. Their paper, <strong>Real-Time Detection of Online Health Misinformation using an Integrated KnowledgeGraph-LLM Approach</strong>, is available <a href="https://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach" rel="nofollow external" class="bo"><strong>here</strong></a>.</div><div><br></div><div><br></div></div>
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<Summary>A research paper by UMBC Information Systems PhD student Ommo Clark co-authored with her advisor Professor Karuna Joshi received the Best Student Paper award at the IEEE International Conference...</Summary>
<Website>https://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach</Website>
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<PostedAt>Wed, 30 Jul 2025 18:20:20 -0400</PostedAt>
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<NewsItem contentIssues="true" id="141999" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/141999">
<Title>AI Lunchbox: AI, misinformation &amp; disinformation, 12-1 5/16</Title>
<Body>
<![CDATA[
    <div class="html-content"><p><span><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/05/AI_disinfo.webp" style="max-width: 100%; height: auto;"></span></p><p><span>This week's </span>UMBC Training Centers <span>AI Lunchbox session is on how new AI systems spread both misinformation and  disinformation. </span><strong><a href="https://en.wikipedia.org/wiki/Misinformation" rel="nofollow external" class="bo"><span>Misinformation</span></a><span> </span></strong><span>is incorrect or misleading information that can include inaccurate, incomplete, </span><span>misleading</span><span>, or false information and selective or half-truths but </span><span>is distributed</span><span> without the intention to mislead.  </span><strong><a href="https://en.wikipedia.org/wiki/Disinformation" rel="nofollow external" class="bo">Disinformation</a></strong><span> is false information deliberately spread to deceive people.</span></p><p><span>AI systems have evolved dramatically to the point where anyone can emulate another person's speech, language, and image at little to no cost. A significant downside is the explosion of content meant to deceive others. </span></p><p><span>Join the UMBC Training Centers for this free</span><span> lunchtime session as <strong><a href="https://www.linkedin.com/in/ed-melick-7a683/" rel="nofollow external" class="bo">Ed Melick</a></strong></span> examines AI disinformation/misinformation and what you can do to inform and protect yourself.</p><p><span>Register <a href="https://www.meetup.com/c4a-ai/events/300438326/" rel="nofollow external" class="bo"><strong>here</strong></a> for this session, 12-</span><span>1pm</span><span> ET Thursday, May 16, 2024.<br></span></p> <hr><a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a></div>
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<Summary>This week's UMBC Training Centers AI Lunchbox session is on how new AI systems spread both misinformation and  disinformation. Misinformation is incorrect or misleading information that can...</Summary>
<Website>https://www.meetup.com/c4a-ai/events/300438326/</Website>
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<PostedAt>Wed, 15 May 2024 10:36:33 -0400</PostedAt>
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<NewsItem contentIssues="false" id="140638" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/140638">
<Title>Talk: Influencing Societies via Narrative Construction, 4/12</Title>
<Tagline>Dr. Anupam Joshi on misinformation, disinformation &amp; LLMs</Tagline>
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<![CDATA[
    <div class="html-content"><div>The UMBC Cyber Defense Lab presents</div><div><br></div><h4><strong>Shaping Opinion and Influencing Societies through Narrative Construction</strong></h4><div><br></div><div><a href="https://coeit.umbc.edu/deans-office-team/person/kh31043/" rel="nofollow external" class="bo"><strong>Anupam Joshi</strong></a></div><div><strong>CSEE Professor and Acting CoEIT Dean</strong></div><div><strong><br></strong></div><div><strong>12–1pm, Friday, April 12, 2024 via <a href="https://umbc.webex.com/meet/sherman" rel="nofollow external" class="bo">WebEx</a></strong></div><div><br></div><div>There has been a significant body of work that explores “<a href="https://en.wikipedia.org/wiki/Misinformation" rel="nofollow external" class="bo"><strong>misinformation</strong></a>” or “<a href="https://en.wikipedia.org/wiki/Disinformation" rel="nofollow external" class="bo"><strong>disinformation</strong></a>” in the media. Research has explored how to identify misinformation, and how it spreads or goes viral. When detected, individual pieces of misinformation can be debunked. However, there is evidence that state actors (and others) are starting to launch more sophisticated information operations that try to craft a narrative that will shape public opinion. This involves combining factual information/hard news with opinions and potentially small elements of disinformation to persuade people, particularly in open societies typically found in democracies. While such influence building operations have been a tradition in statecraft, the ability to spread information fast provided by social media, and the removal of gatekeepers from the more traditional media sources, have provided a new potency to this approach. In this talk, we'll talk about disinformation, how easy it is to generate plausible “facts” in the era of <a href="https://en.wikipedia.org/wiki/Large_language_model" rel="nofollow external" class="bo"><strong>Large Language Models</strong></a>, and narrative constructions. We'll also describe our recent work (with PhD student <strong><a href="https://ebiquity.umbc.edu/person/html/Priyanka/Ranade" rel="nofollow external" class="bo">Priyanka Ranade</a></strong>) in creating computational approaches that might detect when a narrative is being constructed.</div><div><br></div><div><strong><a href="https://coeit.umbc.edu/deans-office-team/person/kh31043/" rel="nofollow external" class="bo">Anupam Joshi</a></strong> is the Oros Family Professor and Acting Dean of the College of Engineering and Information Technology at the University of Maryland, Baltimore County (UMBC).  He also serves as the Director of UMBC’s Center for Cybersecurity.  He was previously the Chair of Computer Science and Electrical Engineering Department, and is an Adjunct Professor at IIT Delhi's School of IT.  He is a Fellow of IEEE and of the InCSCoE. He has published over 300 technical papers with an h-index of 91 and over 32,000 citations (per Google scholar), been granted nine patents, and has obtained research support over $22M from National Science Foundation (NSF), NASA, Defense Advanced Research Projects Agency (DARPA), US Dept of Defense (DoD), NIST, IBM, Microsoft, Qualcomm, Northrop Grumman, and Lockheed Martin amongst others.</div><div><br></div><div>Dr. Joshi obtained a B.Tech degree from IIT Delhi in 1989, and a Masters and Ph.D. from Purdue University in 1991 and 1993 respectively. His research interests are at the intersection of AI and Systems. He did some of the earliest work in data management and security for mobile and ad-hoc networks using AI approaches. Over the last decade, he has been exploring this intersection to improve Cybersecurity—using Distributed AI approaches for attack detection and resilience in CPS/IoT systems, and policy driven approaches to security and privacy. This work has led not just to papers but technology transfer to small Maryland companies. </div><div><br></div><div>Host: Alan T. Sherman, <a href="mailto:sherman@umbc.edu">sherman@umbc.edu</a>. Support for this event was provided in part by the NSF under SFS grant DGE-1753681.</div><div><br></div><div> </div></div>
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<Summary>The UMBC Cyber Defense Lab presents     Shaping Opinion and Influencing Societies through Narrative Construction     Anupam Joshi  CSEE Professor and Acting CoEIT Dean     12–1pm, Friday, April...</Summary>
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<PostedAt>Sun, 07 Apr 2024 15:18:27 -0400</PostedAt>
<EditAt>Sun, 07 Apr 2024 15:35:14 -0400</EditAt>
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