Will automated content moderation work? Researchers and software engineers have made great strides in building automated content moderation tools, but these tools are not good enough yet, and are prone to making mistakes.
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Social media has not helped us build a strong and resilient tribe with diverse skills and resources. It is now simply geared to help us find others that “like” the same things as we do, which is not the connection points for tribes.
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What are the characteristics of information dissemination during public events? How can the information be leveraged to better respond to public events? Nowadays, social media provides convenient platforms where people can express their opinions and emotions. The public events which threaten the safety of people’s lives and property are likely to trigger a tsunami of opinions with much information disclosed at the same time.
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In China, there is an emerging class of online celebrities known as “Knowledge Wanghong” who focuses specifically on knowledge-intensive content.
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The Covid-19 epidemic has profoundly changed the global economy and society, bringing all individuals and organizations into the VUCA era—an era of Volatility, Uncertainty, Complexity, and Ambiguity.
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In a recent paper published in Computers in Human Behaviour, we explored user engagement and disengagement, uncovering common misconceptions.
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Yet another troubling development in social media is research that looks at ways to help online discussions stay on-topic and to prevent discussions from descending into exchanges of hostilities.
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A well-liked (👍) video on Carol Kuhlthau’s Information Search Process just passed 1,000 views in 8 months, making it a rising star on INFIDEOS.
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We applied Speech Act Theory (SAT) (Austin, 1962/1975) to examine social activity around vaccination debate in online social media.
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This study reveals that social media users’ awareness of observation by others does impact their information behavior.
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