Taking“Friendly Shandong”official account as an example,the relevant data of the account on the four platforms of Tiktok,Kwai,Bilibili and Little Red Book were comparatively analyzed to study the influence of short ...Taking“Friendly Shandong”official account as an example,the relevant data of the account on the four platforms of Tiktok,Kwai,Bilibili and Little Red Book were comparatively analyzed to study the influence of short video on the communication of Shandong tourism image.The research mainly included two aspects:fan persona features and interactive effects.Through comparative study,it will provide a reference for the operation team of“Friendly Shandong”official account to spread the tourism image of Shandong with different platforms.展开更多
With the rapid expansion of wireless infrastructure and smart devices,short video platforms have become a staple of modern digital ecosystems,offering convenience but also introducing new risks.One such risk is illici...With the rapid expansion of wireless infrastructure and smart devices,short video platforms have become a staple of modern digital ecosystems,offering convenience but also introducing new risks.One such risk is illicit promotional content(IPC),which encompasses deceptive or fraudulent material intended to promote products,services,or events in violation of platform policies.As these platforms grow in popularity,so too does the threat of IPC,which has adapted to the short video format,referred to here as short video-illicit promotional content(SV-IPC).The detection of SV-IPC is crucial to protect users,especially minors,from fraudulent schemes and harmful material.Current detection approaches primarily rely on image processing,text analysis,and quick response(QR)code detection,limiting their effectiveness on short video platforms.This paper provides a comprehensive investigation into SV-IPC and its evasion techniques,revealing the underlying ecosystem of illicit promotion.To address these challenges,we introduce a hybrid detection framework that integrates natural language processing with video analysis.Extensive experiments conducted on Chinese TikTok validate the proposed scheme,demonstrating high effectiveness with an F1-score of 90.7%,recall of 90.3%,and precision of 91.2%.This study underscores the broader societal implications of SV-IPC and the importance of enhanced detection mechanisms.展开更多
The digital world has changed the way we share and consume information through the adoption of social media,shortform video and live streaming.These tools changed how virality works,how audiences act and how content g...The digital world has changed the way we share and consume information through the adoption of social media,shortform video and live streaming.These tools changed how virality works,how audiences act and how content gets created.This article takes a closer look at the dynamics of virality,and how algorithms and crowdsourcing facilitate quick sharing of information while driving the development of misinformation and echo chambers.Likewise,it explores how users interact with content rather than consume it,and explores engagement metrics,gamification and interactivity.The paper also explores how content is personalized,storyboarded,and made in the creator economy,and how creators must strike a fine line between authenticity and algorithmic needs.In looking at them,this paper gives a general outline of the dramatic changes digital technologies will bring to communication and culture,and what ethical questions they raise.Future research should explore trends such as decentralized platforms and AI in content strategies.展开更多
Short video platforms face increasingly severe copyright infringement issues in the context of algorithmic recommendations.With the widespread application of algorithmic recommendation technology,platforms have gradua...Short video platforms face increasingly severe copyright infringement issues in the context of algorithmic recommendations.With the widespread application of algorithmic recommendation technology,platforms have gradually evolved from passive neutral intermediaries to active content managers,thereby intensifying the complexity of liability for infringements.Algorithmic recommendations are based on user behavior data and prioritize content with high engagement,often including unauthorized works,which leads to the spread of infringing content.This“pseudo-neutrality”strengthens the platform’s dominant role in content dissemination,making the traditional“safe harbor”principle difficult to apply.By analyzing relevant legal practices,this paper proposes improvements to the platform responsibility identification mechanism and suggestions for enhancing content review and compliance systems,in order to ensure that platforms,while enhancing user experience,effectively fulfill their copyright protection obligations.展开更多
基金Social Science Planning Research Project of Shandong Province(22CLYJ34)Key Project of Shandong Art Science(23QR03280040)+1 种基金Social Science Project of Tai’an City(23YB061)First-class Undergraduate Courses of Tourism Markeing of Taishan University.
文摘Taking“Friendly Shandong”official account as an example,the relevant data of the account on the four platforms of Tiktok,Kwai,Bilibili and Little Red Book were comparatively analyzed to study the influence of short video on the communication of Shandong tourism image.The research mainly included two aspects:fan persona features and interactive effects.Through comparative study,it will provide a reference for the operation team of“Friendly Shandong”official account to spread the tourism image of Shandong with different platforms.
基金supported by the MSIT(Ministry of Science,ICT),Korea,under the Global Research Support Program in the Digital Field Program(No.RS-2024-00431388)supervised by the Institute for Information&Communications Technology Planning&Evaluation,the National Research Foundation of Korea(No.RS-2024-00356926)the Research Fund of Hanyang University(No.HY-2024-2692).
文摘With the rapid expansion of wireless infrastructure and smart devices,short video platforms have become a staple of modern digital ecosystems,offering convenience but also introducing new risks.One such risk is illicit promotional content(IPC),which encompasses deceptive or fraudulent material intended to promote products,services,or events in violation of platform policies.As these platforms grow in popularity,so too does the threat of IPC,which has adapted to the short video format,referred to here as short video-illicit promotional content(SV-IPC).The detection of SV-IPC is crucial to protect users,especially minors,from fraudulent schemes and harmful material.Current detection approaches primarily rely on image processing,text analysis,and quick response(QR)code detection,limiting their effectiveness on short video platforms.This paper provides a comprehensive investigation into SV-IPC and its evasion techniques,revealing the underlying ecosystem of illicit promotion.To address these challenges,we introduce a hybrid detection framework that integrates natural language processing with video analysis.Extensive experiments conducted on Chinese TikTok validate the proposed scheme,demonstrating high effectiveness with an F1-score of 90.7%,recall of 90.3%,and precision of 91.2%.This study underscores the broader societal implications of SV-IPC and the importance of enhanced detection mechanisms.
文摘The digital world has changed the way we share and consume information through the adoption of social media,shortform video and live streaming.These tools changed how virality works,how audiences act and how content gets created.This article takes a closer look at the dynamics of virality,and how algorithms and crowdsourcing facilitate quick sharing of information while driving the development of misinformation and echo chambers.Likewise,it explores how users interact with content rather than consume it,and explores engagement metrics,gamification and interactivity.The paper also explores how content is personalized,storyboarded,and made in the creator economy,and how creators must strike a fine line between authenticity and algorithmic needs.In looking at them,this paper gives a general outline of the dramatic changes digital technologies will bring to communication and culture,and what ethical questions they raise.Future research should explore trends such as decentralized platforms and AI in content strategies.
文摘Short video platforms face increasingly severe copyright infringement issues in the context of algorithmic recommendations.With the widespread application of algorithmic recommendation technology,platforms have gradually evolved from passive neutral intermediaries to active content managers,thereby intensifying the complexity of liability for infringements.Algorithmic recommendations are based on user behavior data and prioritize content with high engagement,often including unauthorized works,which leads to the spread of infringing content.This“pseudo-neutrality”strengthens the platform’s dominant role in content dissemination,making the traditional“safe harbor”principle difficult to apply.By analyzing relevant legal practices,this paper proposes improvements to the platform responsibility identification mechanism and suggestions for enhancing content review and compliance systems,in order to ensure that platforms,while enhancing user experience,effectively fulfill their copyright protection obligations.
文摘目的 评估抖音、哔哩哔哩HIV相关内容传播质量特征与影响因素,解析平台差异对健康信息效能的调控机制,为优化社交媒体公共卫生教育策略、助力“3个95%”防控目标提供依据。方法 分层随机抽样抽取两平台视频,基于社会认知理论构建三维评估框架,经专业培训双盲评审组用GQS和mDISCERN量表评分,通过Spearman相关性分析和多元线性回归识别影响因素,借助SPSS26.0与R 4.4.1完成分析。结果 纳入哔哩哔哩和抖音各100个视频进行分析,哔哩哔哩视频质量优于抖音(GQS中位数3.00 vs 2.00,mDISCERN中位数3.00 vs 2.50),但抖音用户参与度更高;用户互动指标与GQS及mDISCERN评分呈正相关(r均>0.4,且P<0.001)。多元线性回归分析显示,GQS评分主要受到收藏量的正向影响(β=4.265×10^(-5),P<0.001);而mDISCERN评分则受到更多因素的共同作用,包括平台类型(哔哩哔哩优于抖音,β=0.372,P=0.026)、收藏量(β=4.563×10^(-5),P<0.001)、评论量(β=5.236×10^(-5),P=0.002)、视频时长(β=4.436×10^(-4),P=0.007)呈正向关联,而点赞量(β=-1.291×10^(-5),P=0.002)呈负向关联。结论 抖音和哔哩哔哩平台HIV内容存结构性失衡与“质量中间化”特征。建议哔哩哔哩整合专业内容,抖音优化算法,为全球HIV防控提供数字方案。
