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<div xmlns="http://www.tei-c.org/ns/1.0"><head>RQ1:</head><p>RQ2:</p><p>1: 2nd Amendment <ref type="bibr">[18]</ref> 38 "Breaking down the 27 words of the Second Amendment" 2: Gun Control/Regulation <ref type="bibr">[18]</ref> 215 "How gun background checks work" 3: Politics <ref type="bibr">[19]</ref> 373 "Romney open to new gun measures" 4: Mental <ref type="bibr">Health [20]</ref> 65 "Florida shooter a troubled loner with white supremacist ties" 5: School/Public Space Safety <ref type="bibr">[21]</ref> 137 7 ways to help prevent school shootings 6: Race/Ethnicity <ref type="bibr">[22]</ref> 114 "Lawyers call US gun charges for Mexican man 'vindictive <ref type="bibr">'" 7: Public Opinion [23]</ref> 237 "Students call for action after Florida school mass shooting" 8: Society/Culture <ref type="bibr">[24]</ref> 41 "White House weighs video game link to gun violence" 9: Economic Consequences <ref type="bibr">[23]</ref> 80 "Calstrs to engage with assault-weapon sellers first, divest last"</p><p>Technical methodological diagram illustrating the key steps in the narrative extraction and analysis process, starting with the preprocessed final data set and ending with the quantitative and qualitative evaluation of the resulting narrative maps. </p></div><figure xmlns="http://www.tei-c.org/ns/1.0"><head></head><label></label><figDesc></figDesc><graphic coords="5,151.80,84.19,291.69,232.64" type="bitmap" /></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" type="table" xml:id="tab_0"><head></head><label></label><figDesc>Map sizes of each combination starting and ending frames based on number of events in the map.Sample narrative map extracted from news events spanning January to June 2018. Events are represented as nodes labeled with headlines and frames. Connections indicate narrative relationships between events. Inconsistencies in framing across the map highlight challenges in producing coherent framing narratives through the extraction process.</figDesc><table><row><cell>Coherence</cell><cell></cell><cell></cell><cell></cell><cell></cell></row><row><cell>Chain</cell><cell></cell><cell></cell><cell></cell><cell></cell></row><row><cell>Constraints</cell><cell></cell><cell></cell><cell></cell><cell></cell></row><row><cell>Clustering</cell><cell></cell><cell></cell><cell></cell><cell></cell></row><row><cell cols="5">End: Frame 1 End: Frame 2 End: Frame 3 Linear programming formulation of the extraction method of Keith and Mitra [3]. Start: Frame 1 24 21 19</cell></row><row><cell>Start: Frame 2</cell><cell>16</cell><cell>17</cell><cell>22</cell><cell></cell></row><row><cell>Start: Frame 3</cell><cell>22</cell><cell>22</cell><cell>15</cell><cell></cell></row><row><cell>𝐾 = 6</cell><cell></cell><cell></cell><cell></cell><cell>𝐾</cell></row><row><cell cols="5">Jensen-Shannon divergence values obtained by comparing the framing distribution of each combination</cell></row><row><cell cols="3">starting and ending frames with the distribution of the data set.</cell><cell></cell><cell></cell></row><row><cell cols="5">End: Frame 1 End: Frame 2 End: Frame 3 Average</cell></row><row><cell>Start: Frame 1</cell><cell>0.0764</cell><cell>0.0009</cell><cell>0.0050</cell><cell>0.0274</cell></row><row><cell>Start: Frame 2</cell><cell>0.0270</cell><cell>0.0396</cell><cell>0.0172</cell><cell>0.0280</cell></row><row><cell>Start: Frame 3</cell><cell>0.0069</cell><cell>0.0171</cell><cell>0.0063</cell><cell>0.0101</cell></row><row><cell>Average</cell><cell>0.0368</cell><cell>0.0192</cell><cell>0.0095</cell><cell>0.0218</cell></row></table></figure>
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