Generation and influence of eccentric ideas on social networks

Area of Science:

• Social Psychology
• Computational Social Science
• Sociology

Background:

• Increasing societal polarization necessitates understanding the dynamics of extreme ideas in everyday discourse.
• Routine conversations and choices are key arenas where extreme viewpoints emerge and spread.
• Defining 'eccentric' ideas as deviations from social norms provides a quantifiable measure for analysis.

Purpose of the Study:

• To investigate the generation and influence of extreme ideas, termed 'eccentric' ideas, within routine conversations.
• To analyze individual fascination with eccentricity by comparing idea popularity against its deviation from the norm.
• To explore the role of the social neighborhood in shaping individual opinions and collective idea generation.

Main Methods:

• Data collection from two distinct sources: public social media platforms and controlled online experiments.
• Analysis of idea popularity (e.g., 'likes') in relation to their measured eccentricity.
• Comparative analysis of individual and collective idea generation within social contexts.

Main Results:

• A positive correlation was found between idea eccentricity and its likelihood of achieving higher popularity (more 'likes').
• The social neighborhood was shown to obscure changes in an individual's own opinions.
• Collective generation of eccentric ideas is facilitated by the dynamics within the social neighborhood.

Conclusions:

• Eccentric ideas possess a higher propensity for engagement and virality in online social environments.
• Social networks play a crucial role in both masking individual opinion shifts and amplifying extreme ideas collectively.
• Understanding these mechanisms is vital for addressing societal polarization driven by the spread of extreme viewpoints.