The Israeli-Palestinian conflict is complex and longstanding. This study uses textual analysis through the lens of moral foundations theory to explore how moral values, emotional expressions, and political ideologies are reflected in tweets about the Israeli-Palestine Conflict. By analyzing public discourse and social media interactions, the study seeks to uncover the underlying moral frameworks and emotional responses that shape public perspectives on this ongoing conflict. The results reveal three key findings: 1) both anti-Israel and anti-Hamas tweets emphasize conflict, war, and human rights concerns, characterized by strong negative emotions; 2) anti-Hamas tweets exhibit higher emotional intensity, particularly around specific violent incidents and key figures; and 3) anti-Israel tweets encompass a broader range of issues, such as campus protests and anti-Semitism, with a focus on Israel’s policies and actions from a moral and human rights perspective. This study combines emotion and moral framework analysis, which is rarely used for war related discourse. By combining these perspectives, the research provides valuable theoretical and practical insights that deepen our understanding of how moral and emotional factors shape public opinion on the Israeli-Palestinian conflict.

The COVID-19 pandemic has affected people’s lives around the world on an unprecedented scale. We intend to investigate hoarding behaviors in response to the pandemic using large-scale social media data. First, we collect hoarding-related tweets shortly after the outbreak of the coronavirus. Next, we analyze the hoarding and anti-hoarding patterns of over 42,000 unique Twitter users in the United States from March 1 to April 30, 2020, and dissect the hoarding-related tweets by age, gender, and geographic location. We find the percentage of women in both hoarding and anti-hoarding groups is higher than that of the general Twitter user population. Furthermore, using topic modeling, we investigate the opinions expressed towards the hoarding behavior by categorizing these topics according to demographic and geographic groups. We also calculate the anxiety scores for the hoarding and anti-hoarding related tweets using a lexical approach. By comparing their anxiety scores with the baseline Twitter anxiety score, we reveal further insights. The LIWC anxiety mean for the hoarding-related tweets is significantly higher than the baseline Twitter anxiety mean. Interestingly, beer has the highest calculated anxiety score compared to other hoarded items mentioned in the tweets.