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Joan Massachs

Publications and source records attributed to Joan Massachs.

3 recordsLinked to original sources

Multifaceted polarisation and information reliability in climate change discussions on social media platforms

Social media platforms like YouTube and Twitter play a key role in disseminating both reliable and unreliable information about climate change. This study analyses the topology of interactions in Twitter and their relation to cross-platform sharing, content discussions and emotional responses. We examined climate change discussions across four topics: the 27th United Nations Climate Change Conference, the Sixth Assessment Report of the United Nations Intergovernmental Panel on Climate Change, climate refugees, and Doñana Natural Park. While retweets reinforce in-group cohesion in the form of echo chambers, inter-group exposure is significant through mentions, suggesting that exposure to opposing views intensifies polarisation, rather than mitigates it. Ideological divides feature content differences accompanied by steeper negative sentiments, especially from right-leaning communities prone to share low-reliability information. We identified a topological alignment between platforms, indicating that ideological communities span multiple sites. Our findings show that climate change polarisation is multifaceted, involving ideological divides, structural isolation, and emotional engagement. These results suggest that effective climate policy discussions must address the emotional and identity-driven nature of public discourse and seek strategies to bridge ideological divides.

physics.soc-ph

Far-right party influence on polarization dynamics in electoral campaign

Political polarization has attracted increasing attention in recent years, driven by the rise of social media and the global emergence of far-right populist movements. This study investigates the dynamics of structural polarization during electoral campaigns in multi-party systems, with a particular focus on the presence of far-right actors and their influence on polarization patterns and hate speech. Using retweet networks as a measure of structural polarization, we analyze two case studies in Spain: the 2022 Andalusia regional elections, where the far-right party Vox was a significant contender, and the 2019 Barcelona city council elections, where the party had no representation. Our results reveal that the presence of a far-right party intensifies polarization, leading to the formation of two distinct ideological blocks aligned along left-right ideological axes, as observed in Andalusia. In contrast, the Catalan independence movement in Barcelona diluted the alignment of voters, resulting in a more complex, multi-axis polarization landscape. We also explore the relationship between polarization and hate speech, finding an anti-correlation between them in both cases. Our findings underscore the significant role of far-right movements in driving political polarization and the nuanced effects of different political contexts on polarization dynamics.

physics.soc-ph

Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit

We study the emergence of support for Donald Trump in Reddit's political discussion. With almost 800k subscribers, "r/The_Donald" is one of the largest communities on Reddit, and one of the main hubs for Trump supporters. It was created in 2015, shortly after Donald Trump began his presidential campaign. By using only data from 2012, we predict the likelihood of being a supporter of Donald Trump in 2016, the year of the last US presidential elections. To characterize the behavior of Trump supporters, we draw from three different sociological hypotheses: homophily, social influence, and social feedback. We operationalize each hypothesis as a set of features for each user, and train classifiers to predict their participation in r/The_Donald. We find that homophily-based and social feedback-based features are the most predictive signals. Conversely, we do not observe a strong impact of social influence mechanisms. We also perform an introspection of the best-performing model to build a "persona" of the typical supporter of Donald Trump on Reddit. We find evidence that the most prominent traits include a predominance of masculine interests, a conservative and libertarian political leaning, and links with politically incorrect and conspiratorial content.

cs.SI