Question: What conclusions do the authors draw from their finding that the emotional appeal of ISIS and Catholic materials are similar?

Evidence:
raw_evidence: Comparing these topics with those that appeared on a Catholic women forum, it seems that both ISIS and non-violent groups use topics about motherhood, spousal relationship, and marriage/divorce when they address women. Moreover, we used Depechemood methods to analyze the emotions that these materials are likely to elicit in readers. The result of our emotion analysis suggests that both corpuses used words that aim to inspire readers while avoiding fear. However, the actual words that lead to these effects are very different in the two contexts. Overall, our findings indicate that, using proper methods, automated analysis of large bodies of textual data can provide novel insight insight into extremist propaganda that can assist the counterterrorism community.
raw_evidence: We rely on Depechemood dictionaries to analyze emotions in both corpora. These dictionaries are freely available and come in multiple arrangements. We used a version that includes words with their part of speech (POS) tags. Only words that exist in the Depechemood dictionary with the same POS tag are considered for our analysis. We aggregated the score for each word and normalized each article by emotions. To better compare the result, we added a baseline of 100 random articles from a Reuters news dataset as a non-religious general resource which is available in an NLTK python library. Figure FIGREF22 shows the aggregated score for different feelings in our corpora.
Both Catholic and ISIS related materials score the highest in “inspired” category. Furthermore, in both cases, being afraid has the lowest score. However, this is not the case for random news material such as the Reuters corpus, which are not that inspiring and, according to this method, seems to cause more fear in their audience. We investigate these results further by looking at the most inspiring words detected in these two corpora. Table TABREF24 presents 10 words that are among the most inspiring in both corpora. The comparison of the two lists indicate that the method picks very different words in each corpus to reach to the same conclusion. Also, we looked at separate articles in each of the issues of ISIS material addressing women. Figure FIGREF23 shows emotion scores in each of the 20 issues of ISIS propaganda. As demonstrated, in every separate article, this method gives the highest score to evoking inspirations in the reader. Also, in most of these issues the method scored “being afraid” as the lowest score in each issue.
Comparing these topics with those that appeared on a Catholic women forum, it seems that both ISIS and non-violent groups use topics about motherhood, spousal relationship, and marriage/divorce when they address women. Moreover, we used Depechemood methods to analyze the emotions that these materials are likely to elicit in readers. The result of our emotion analysis suggests that both corpuses used words that aim to inspire readers while avoiding fear. However, the actual words that lead to these effects are very different in the two contexts. Overall, our findings indicate that, using proper methods, automated analysis of large bodies of textual data can provide novel insight insight into extremist propaganda that can assist the counterterrorism community.

Answers:
both corpuses used words that aim to inspire readers while avoiding fear, actual words that lead to these effects are very different in the two contexts, our findings indicate that, using proper methods, automated analysis of large bodies of textual data can provide novel insight insight into extremist propaganda
By comparing scores for each word calculated using Depechemood dictionary and normalize emotional score for each article, they found Catholic and ISIS materials show similar scores