Visual and Textual Analysis for Image Trustworthiness Assessment within Online News

<table class="fixed-width table-group" id="tab2"><tr><td><table class="table"><colgroup><col style="width:11.46em"/><col style="width:3.91em"/><col style="width:4.40em"/><col style="width:4.11em"/><col style="width:6.04em"/><col style="width:6.15em"/></colgroup><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Dataset </td><td class="align_center">Events </td><td class="align_center">Articles </td><td class="align_center">Images </td><td class="align_center">Real images </td><td class="align_center">Fake images </td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">MediaEval2016 (training)</td><td class="align_center"> 15</td><td class="align_center"> 170</td><td class="align_center"> 380</td><td class="align_center"> 186</td><td class="align_center"> 194</td></tr><tr><td class="align_left">MediaEval2016 (test)</td><td class="align_center"> 25</td><td class="align_center"> 91</td><td class="align_center"> 98</td><td class="align_center"> 50</td><td class="align_center"> 48</td></tr><tr><td class="align_left">BuzzFeedNews</td><td class="align_center"> 6</td><td class="align_center"> 56</td><td class="align_center"> 49</td><td class="align_center"> 31</td><td class="align_center"> 18</td></tr><tr><td class="align_left">CrawlerNews</td><td class="align_center"> 13</td><td class="align_center"> 130</td><td class="align_center"> 246</td><td class="align_center"> 223</td><td class="align_center"> 23</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Statistics of the collected datasets.</div>

Security and Communication Networks

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Table 2

Table 2: Visual and Textual Analysis for Image Trustworthiness Assessment within Online News 