<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-04945786</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-04T02:12:57+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Fake News Detection Using Large Language Models and Sentiment Analysis</title>
            <author role="aut">
              <persName>
                <forename type="first">Wissam</forename>
                <surname>Bouaraki</surname>
              </persName>
              <idno type="halauthorid">3413166-0</idno>
              <affiliation ref="#struct-302807"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Asma</forename>
                <surname>Saibi</surname>
              </persName>
              <idno type="halauthorid">3413167-0</idno>
              <affiliation ref="#struct-302807"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Yasmine</forename>
                <surname>Guerbai</surname>
              </persName>
              <idno type="halauthorid">3413168-0</idno>
              <affiliation ref="#struct-302807"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Abdenour</forename>
                <surname>Hadid</surname>
              </persName>
              <email type="md5">33df98823293a30e9ac9f9be32be8791</email>
              <email type="domain">ieee.org</email>
              <idno type="idhal" notation="string">abdenourhadid</idno>
              <idno type="idhal" notation="numeric">792821</idno>
              <idno type="halauthorid" notation="string">1434040-792821</idno>
              <idno type="ORCID">https://orcid.org/0000-0001-9092-735X</idno>
              <idno type="IDREF">https://www.idref.fr/181799170</idno>
              <affiliation ref="#struct-1076448"/>
              <affiliation ref="#struct-1202835"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Ayman</forename>
                <surname>Jouaouine</surname>
              </persName>
              <email type="md5">5712d5f27770e5b67aeade599cd51451</email>
              <email type="domain">sorbonne.ae</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2025-02-13 13:58:48</date>
              <date type="whenModified">2025-02-28 07:50:30</date>
              <date type="whenReleased">2025-02-13 13:58:49</date>
              <date type="whenProduced">2024</date>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="1376983">
                <persName>
                  <forename>Ayman</forename>
                  <surname>Jouaouine</surname>
                </persName>
                <email type="md5">5712d5f27770e5b67aeade599cd51451</email>
                <email type="domain">sorbonne.ae</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-04945786</idno>
            <idno type="halUri">https://hal.science/hal-04945786</idno>
            <idno type="halBibtex">bouaraki:hal-04945786</idno>
            <idno type="halRefHtml">&lt;i&gt;2024 2nd International Conference on Foundation and Large Language Models (FLLM)&lt;/i&gt;, Nov 2024, Dubai, United Arab Emirates. IEEE, pp.15-20, 2024, &lt;a target="_blank" href="https://dx.doi.org/10.1109/FLLM63129.2024.10852453"&gt;&amp;#x27E8;10.1109/FLLM63129.2024.10852453&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">2024 2nd International Conference on Foundation and Large Language Models (FLLM), Nov 2024, Dubai, United Arab Emirates. IEEE, pp.15-20, 2024, &amp;#x27E8;10.1109/FLLM63129.2024.10852453&amp;#x27E9;</idno>
            <availability status="restricted"/>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="SUAD">Sorbonne University Abu Dhabi - Humanities, Law, Sciences</idno>
            <idno type="stamp" n="SUAD_SAFIR" corresp="SUAD">SAFIR : Institut Sorbonne Abu Dhabi pour l’innovation et la recherche</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="peer" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Fake News Detection Using Large Language Models and Sentiment Analysis</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Wissam</forename>
                    <surname>Bouaraki</surname>
                  </persName>
                  <idno type="halauthorid">3413166-0</idno>
                  <affiliation ref="#struct-302807"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Asma</forename>
                    <surname>Saibi</surname>
                  </persName>
                  <idno type="halauthorid">3413167-0</idno>
                  <affiliation ref="#struct-302807"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Yasmine</forename>
                    <surname>Guerbai</surname>
                  </persName>
                  <idno type="halauthorid">3413168-0</idno>
                  <affiliation ref="#struct-302807"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Abdenour</forename>
                    <surname>Hadid</surname>
                  </persName>
                  <email type="md5">33df98823293a30e9ac9f9be32be8791</email>
                  <email type="domain">ieee.org</email>
                  <idno type="idhal" notation="string">abdenourhadid</idno>
                  <idno type="idhal" notation="numeric">792821</idno>
                  <idno type="halauthorid" notation="string">1434040-792821</idno>
                  <idno type="ORCID">https://orcid.org/0000-0001-9092-735X</idno>
                  <idno type="IDREF">https://www.idref.fr/181799170</idno>
                  <affiliation ref="#struct-1076448"/>
                  <affiliation ref="#struct-1202835"/>
                </author>
              </analytic>
              <monogr>
                <meeting>
                  <title>2024 2nd International Conference on Foundation and Large Language Models (FLLM)</title>
                  <date type="start">2024-11-26</date>
                  <date type="end">2024-11-29</date>
                  <settlement>Dubai</settlement>
                  <country key="AE">United Arab Emirates</country>
                </meeting>
                <imprint>
                  <publisher>IEEE</publisher>
                  <pubPlace>Dubai, United Arab Emirates</pubPlace>
                  <biblScope unit="pp">15-20</biblScope>
                  <date type="datePub">2024</date>
                </imprint>
              </monogr>
              <idno type="doi">10.1109/FLLM63129.2024.10852453</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">Large language Models (LLMs)</term>
                <term xml:lang="en">Sentiment Analysis</term>
                <term xml:lang="en">Fake News Detection</term>
                <term xml:lang="en">Multifaceted Approach</term>
                <term xml:lang="en">Linguistic Patterns</term>
                <term xml:lang="en">Misinformation</term>
              </keywords>
              <classCode scheme="halDomain" n="info">Computer Science [cs]</classCode>
              <classCode scheme="halTypology" n="PROCEEDINGS">Proceedings</classCode>
              <classCode scheme="halOldTypology" n="DOUV">Directions of work or proceedings</classCode>
              <classCode scheme="halTreeTypology" n="PROCEEDINGS">Proceedings</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Spreading false information (i.e. fake news) has increased with the recent rise of social media. This is a serious threat facing our modern society. To help combating this problem, this paper introduces a novel approach by combining large language models (LLMs) with sentiment analysis. LLMs like BERT (Bidirectional Encoder Representations from Transformers) are adept at identifying linguistic patterns indicative of misinformation, leveraging their vast data corpus. Sentiment analysis adds another layer by analyzing user behavior. The integration of these two concepts offers robust detection and mitigation of fake news, improving accuracy and efficiency. Our extensive experimental analysis shows promising results, demonstrating the importance of this multifaceted approach in combating misinformation and fostering a more informed society.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="institution" xml:id="struct-302807" status="VALID">
          <idno type="ROR">https://ror.org/02dveg925</idno>
          <orgName>Université M'Hamed Bougara Boumerdes</orgName>
          <orgName type="acronym">UMBB</orgName>
          <desc>
            <address>
              <addrLine>Boumerdès</addrLine>
              <country key="DZ"/>
            </address>
            <ref type="url">http://www.univ-boumerdes.dz/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-1076448" status="VALID">
          <idno type="ROR">https://ror.org/03e1ymy32</idno>
          <orgName>Sorbonne University Abu Dhabi</orgName>
          <orgName type="acronym">SUAD</orgName>
          <date type="start">2018-01-01</date>
          <desc>
            <address>
              <addrLine>Ile d’Al ReemAbu DhabiÉmirats Arabes UnisPO Box 38044</addrLine>
              <country key="AE"/>
            </address>
            <ref type="url">https://www.sorbonne.ae/fr/</ref>
          </desc>
        </org>
        <org type="regrouplaboratory" xml:id="struct-1202835" status="VALID">
          <orgName>SUAD_SAFIR</orgName>
          <desc>
            <address>
              <country key="AE"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-1076448" type="direct"/>
          </listRelation>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>