Online moderation is apropos to community curation as a way to fight against malicious behaviors bristling on User‐Generated Content (UGC)‐based Social Network Sites (SNS). Given the current research gap on voluntary moderation from the perspectives of power misuse, we investigate how power abuse by a moderator would affect the community dynamics in terms of participation indicators, linguistic characteristics, and network structure in a computational fashion. An event on Reddit is chosen for a case study. Using interrupted time‐series analysis and social network analysis, we find moderation fueled short‐term feuds and brought potential prolonged destruction to the community. People's linguistic patterns remained stable while the liberation from “tyranny” brought the community back to life and the power competition entailed negative repulsion. We also find an “Exodus” phenomenon as netizens voted with their feet and migrated to a mirror community when facing severe moderation. This preliminary research expands the connotation of moderation by addressing more forms of power abuse. We also refer to social movement and community choice theories in relevant fields and provide the insights of online moderation from interdisciplinary perspectives.

Privacy issues on social media are becoming an increasing area of concern. Paradoxically, some netizens are actively divulging their privacy online. Noticeably, some information is specifically guilt-related, though confession online is considered irrational. This preliminary study strives to understand this guilty information disclosure behavior through a mixed-approach. Analyzing posts and comments in a confession forum on Reddit, we find that sex-related and recreation-related topics prevail. Our qualitative investigation produces a thematic model with 71 codes, 17 concepts, 4 frames, 3 categories, and 9 relationships, capturing the intents, content, influencers of this behavior, and the interactions among users. Our contribution relies on the investigation of this peculiar behavior to better understand people’s privacy behavior. Also, we render a sophisticated framework around guilt-inducing behaviors useful for future work. We also suggest it as a mixture of conformity and counter-conformity, a modern “technology of self” and a variant of Adaptive Cognitive Theory.

“Musicalization of the culture” is the social science concept proposed by American philosopher George Stainer. He depicted the glooming future of music—it would become omnipresent while having increasing volume, repetitiveness, and monotony, which are ascribed to the debase of literal aesthetics. Although research that relates to one or some of these predictions exists, neither of them encompass all these “musicalization” manifestations, nor do they study the trend of these predictions over time. Therefore, this preliminary research tries to validate whether music has gained acoustic loudness, and lyrical repetitiveness, monotony, and simplicity in a computational fashion. Conducting time-series analysis with trend detection, we confirmed the increasing trends of acoustic loudness and repetitiveness but not monotony and simplicity from 1970 to 2016 using the MetroLyrics dataset and Spotify API. To investigate the simultaneity of these trends, we further conducted synchrony analysis and found little evidence indicating they would influence each other in a lagged fashion. In light of the results, we briefly discussed our findings by relating to the music industry change in reality. Our research made the first attempt to answer this music sociological preposition. On top of this, we also proposed novel metrics to quantify repetitiveness using closed frequent sequential pattern mining, which could be illuminating for future research.

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