Sentiment analysis on the conversation pattern of the @quweenjojo account's apology regarding gofar allegations of harassment on twitter. Analyze sentiment & communication of @Quweenjojo's Twitter apology for Gofar Hilman harassment allegations. Reveals negative public sentiment, showing apologies can worsen reputation.
Social media has become a fundamental necessity for humans, facilitating social interaction and communication which are essential needs as social beings. In the era of social media, information about scandals or controversial actions can spread rapidly and widely. One notable case is Gofar Hilman, where public perception turned negative due to allegations of sexual harassment posted by the @Quweenjojo account. This research explores the sentiments and communication patterns arising from the public apology discussion by @Quweenjojo on Twitter regarding the allegations against Gofar Hilman. The tweets generated diverse responses from the audience, as the accusations of sexual harassment against Gofar Hilman by @Quweenjojo were deemed delusional and false. This study applies communication pattern theory and narrative analysis methods. The findings from the communication pattern theory analysis reveal a circular communication pattern formed during interactions, reflecting equal distribution in communication and decision-making processes. The research identifies predominantly negative sentiments resulting from this interaction. It suggests that public apologies on social media may not always yield positive outcomes for the apologizer and can instead worsen their reputation. The apology by @Quweenjojo could be viewed as an attempt to restore Gofar Hilman's reputation.
The paper, "Sentiment Analysis On The Conversation Pattern Of The @QUWEENJOJO Account's Apology Regarding Gofar Allegations Of Harassment On Twitter," addresses a highly relevant and timely topic concerning the intricate dynamics of public apologies and reputation management within the social media landscape. The abstract effectively sets the stage by highlighting the rapid dissemination of controversial information online and the significant public perception shifts that can occur. By focusing on a specific, high-profile case involving sexual harassment allegations that were subsequently deemed "delusional and false," the research aims to meticulously explore the sentiments and communication patterns generated by the @Quweenjojo account's public apology. This case study provides a rich, real-world context for examining how digital communities process retractions and apologies, offering valuable insights into the complexities of online reputation repair. The methodology outlined, which combines communication pattern theory and narrative analysis, appears well-suited for dissecting the multi-layered interactions surrounding such a sensitive public event. The abstract presents several compelling findings, notably the identification of a "circular communication pattern" characterized by "equal distribution in communication and decision-making processes" during online interactions. Furthermore, the discovery of predominantly "negative sentiments" resulting from this exchange offers a crucial contribution to understanding the often-ineffective nature of online apologies, particularly when the initial accusation has been discredited. The conclusion that public apologies may not always yield positive outcomes, and can even exacerbate reputational damage, holds significant implications for crisis communication strategies in the digital age. The interpretation that @Quweenjojo's apology could be an attempt to restore Gofar Hilman's reputation adds an intriguing layer of analysis to the apology's underlying intent and its eventual reception. While the study offers valuable insights into a pressing issue, the abstract could benefit from a more explicit articulation of the specific theoretical frameworks employed within communication pattern theory and narrative analysis, as well as the precise methods used for sentiment analysis. Detailing *how* the "circular" pattern was identified or the specific metrics for negative sentiment would strengthen the methodological clarity and allow for better replication or comparison. Additionally, while the findings are compelling for this particular case, the abstract does not overtly discuss the generalizability of these insights beyond this unique incident or elaborate on the broader theoretical contributions made beyond confirming existing understandings of online reputational challenges. Future work could potentially expand on the long-term impacts of such apologies and explore comparative cases to build a more robust theoretical framework. Nevertheless, the paper presents a timely and pertinent analysis of social media dynamics, offering practical implications for individuals and organizations navigating online controversies.
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