Like, Comment, and Share on TikTok: Exploring the Effect of Sentiment and Second-Person View on the User Engagement with TikTok News Videos

Cheng, Zicheng; Li, Yanlin

doi:10.1177/08944393231178603

Cited by 19 publications

(6 citation statements)

References 67 publications

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“…Relevant studies have also confirmed such patterns for other platforms (e.g., Ledwich & Zaitsev, 2020). For example, TikTok's user algorithm similarly promotes content from conspiracy groups-QAnon, Three Percenters, and Oath Keepers (Albertazzi & Bonansinga, 2023;Cheng & Li, 2023).…”

mentioning

confidence: 76%

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How Algorithms Promote Self-Radicalization: Audit of TikTok’s Algorithm Using a Reverse Engineering Method

Shin,

Jitkajornwanich

2024

Social Science Computer Review

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Algorithmic radicalization is the idea that algorithms used by social media platforms push people down digital “rabbit holes” by framing personal online activity. Algorithms control what people see and when they see it and learn from their past activities. As such, people gradually and subconsciously adopt the ideas presented to them by the rabbit hole down which they have been pushed. In this study, TikTok’s role in fostering radicalized ideology is examined to offer a critical analysis of the state of radicalism and extremism on platforms. This study conducted an algorithm audit of the role of radicalizing information in social media by examining how TikTok’s algorithms are being used to radicalize, polarize, and spread extremism and societal instability. The results revealed that the pathways through which users access far-right content are manifold and that a large portion of the content can be ascribed to platform recommendations through radicalization pipelines. Algorithms are not simple tools that offer personalized services but rather contributors to radicalism, societal violence, and polarization. Such personalization processes have been instrumental in how artificial intelligence (AI) has been deployed, designed, and used to the detrimental outcomes that it has generated. Thus, the generation and adoption of extreme content on TikTok are, by and large, not only a reflection of user inputs and interactions with the platform but also the platform’s ability to slot users into specific categories and reinforce their ideas.

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mentioning

confidence: 76%

“…The TikTok algorithm bases recommendations on a user's interactions with content on the app (Cheng & Li, 2023). The For You Page (FYP) shows users personalized content curated specifically for them by the TikTok algorithm.…”

mentioning

confidence: 99%

How Algorithms Promote Self-Radicalization: Audit of TikTok’s Algorithm Using a Reverse Engineering Method

Shin,

Jitkajornwanich

2024

Social Science Computer Review

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“…These videos will be carefully analyzed to understand the context, content, and messages conveyed by UNP KKN students. Additionally, interviews were conducted with relevant respondents, such as students involved in creating video content, local residents, and stakeholders such as supervising lecturers and university authorities (Cheng & Li, 2023). These interviews aim to gather perceptions and views on the incident and to understand its impacts on the various parties involved (McCashin & Murphy, 2023).…”

Section: Methodsmentioning

confidence: 99%

Analysis Of Tiktok Video Content In The Incident Of UNP Student Eviction By Residents: A Case Study Of Perceptions And Impacts

Desiana

2024

FIJC

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This study aims to analyze video content on TikTok related to incidents of KKN UNP students being expelled by residents and examine their perceptions and impacts in a social context. In this case study, an in-depth review of the video content made by UNP KKN students and residents involved in the incident was carried out. The research method used is video content analysis and a case study approach. Through an analysis of the messages and narration in the video content on TikTok regarding the expulsion incident, it is described and interpreted. The results of this study reveal that the messages in the video content play an important role in shaping the narrative and influencing the people's perspective on the event. This research also found the factors that influence the perception and impact of video content on TikTok as well as understanding of the role of social media in shaping public opinion and its effect on social dynamics, such as people's perception of the video content and its impact through public attitudes.

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“…Fractures, namely holes that form in the dam body when it collapses, occur before the dam completely collapses [7]. This happened before the dam actually collapsed [8]. Understanding of failure mechanisms is still lacking, regardless of whether the dam in question is a concrete dam or an earthfill dam.…”

Section: Literature Reviewmentioning

confidence: 99%

Flood Routing and Dam Breach Parameter Calculation on Sepaku Semoi Dam

Sejati,

Pusoko,

Aryadi

et al. 2024

ATT

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This study endeavors to develop a comprehensive flood routing model and ascertain dam breach parameters at the Sepaku Semoi Dam. Driven by the escalating threat of floods due to climate change and urban expansion, effective water management strategies are imperative. The increasing demand for water, juxtaposed with limited supply, underscores the pivotal role of dams in maintaining water resources, despite the inherent risks they pose in the event of failure, including loss of life, property damage, and environmental degradation. Focused on the potential causes of dam collapse, particularly overtopping and piping, this research investigates whether the Sepaku Semoi Dam has experienced overtopping through flood routing analysis, complemented by the calculation of breach parameters using the Zhong Xing HY21 model. The primary aim is to enhance understanding of flood dynamics around the dam and bolster the reliability of flood hazard predictions. Through Gap analysis, the study underscores the urgent need for improved flood risk management and understanding of dam failure potential. Employing a methodology that integrates hydrological and hydrodynamic modeling, the study aims to provide deeper insights into flood patterns around the dam and facilitate more precise calculations of dam breach parameters. The implications of this research extend to enhanced flood risk mitigation, emergency planning, and increased dam infrastructure reliability. The study's unique approach lies in its holistic integration of flood modeling and dam breach parameter calculation, which aligns with practical disaster risk management needs. Flood routing analysis indicates that the Sepaku Semoi Dam has not experienced overtopping, as evidenced by the remaining guard heights exceeding the standard guard height, while breach parameters reveal critical insights into potential dam failure scenarios.

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Like, Comment, and Share on TikTok: Exploring the Effect of Sentiment and Second-Person View on the User Engagement with TikTok News Videos

Cited by 19 publications

References 67 publications

How Algorithms Promote Self-Radicalization: Audit of TikTok’s Algorithm Using a Reverse Engineering Method

How Algorithms Promote Self-Radicalization: Audit of TikTok’s Algorithm Using a Reverse Engineering Method

Analysis Of Tiktok Video Content In The Incident Of UNP Student Eviction By Residents: A Case Study Of Perceptions And Impacts

Flood Routing and Dam Breach Parameter Calculation on Sepaku Semoi Dam

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