"I Am Concerned, But...": Streamers' Privacy Concerns and Strategies In Live Streaming Information Disclosure

Abstract

Live streaming is a popular synchronous social media platform that allows users to disclose information to vast audience in real time. It has been increasingly studied in recent years for its unique functions of disseminating user-generated content, enriching streamers' self-presentation, curating online social interactions and fostering online communities. However, little research has been done to explore the privacy issues in live streaming. In the present paper, we aim to understand streamers' privacy concerns and strategies in their information disclosure on live streaming. From an interview study with 20 streamers, we found that they expressed concerns and carefully managed their information disclosure based on whether the disclosure would enhance or weaken their attractiveness to the audience and whether it would disturb their interpersonal boundary with the audience. They adopted various technical and behavioral privacy management strategies to cope with their concerns, but encountered a series of usability and cognitive burdens. Based on the findings, we present design implications to improve the privacy management on live streaming.

Preserving Privacy in Video Analytics: A Comprehensive Review of Face De-Identification and Background Blurring Techniques

“…It adapts to the background without prior knowledge, making it robust against sudden lighting changes and camera movement. Notably, the algorithm is lightweight, ensuring that it does not excessively tax the computational resources, which is a crucial requirement for maintaining the utility and user experience in OSN sharing, aligning with the challenges mentioned in the proposed research agenda [4].…”

“…However, this also raises significant privacy concerns, as highlighted by Liu et al [3]. Furthermore, a paper surveying bystander privacy [4] in live streams by Wu et al also indicates the inadequacy of current privacy laws, regulations, and OSN tools in dealing with this complex issue. In the same paper discussing bystander privacy in live streams, it is suggested that solutions should aim to be personalized, independent, automated, flexible, and fast.…”

“…The research agenda of the study [4] indicates that more sophisticated "privacy intelligence" solutions are required. The performance gains covered in the research paper published by Zhang et al [7] can address this need for solutions.…”

Preserving Privacy in Video Analytics: A Comprehensive Review of Face De-Identification and Background Blurring Techniques

“…However, this also raises significant privacy concerns, as highlighted by Liu et al [3]. Furthermore, a paper surveying bystander privacy [4] in live streams by Wu et al also indicates the inadequacy of current privacy laws, regulations, and OSN tools in dealing with this complex issue. In the same paper discussing bystander privacy in live streams, it is suggested that solutions should aim to be personalized, independent, automated, flexible, and fast.…”

“…The research agenda of the study [4] indicates that more sophisticated "privacy intelligence" solutions are required. The performance gains covered in the research paper published by Zhang et al [7] can address this need for solutions.…”