Parents鈥understandings of social media algorithms in children鈥檚 lives in England: Misunderstandings, parked understandings, transactional understandings and proactive understandings amidst dataficationRanjana Das
um, maybe a decade and a half ago now, uh, with Cass Sunstein and Eli Pariser, worried about where algorithms were driving people. Were they driving people into kind of corners?
Datafication, algorithms, social media and their various assemblages enable massive connective processes, enriching personal interaction and amplifying the scope and scale of public networks. At the same time, surveillance capitalists and the social quantification sector are committed to monetizing every aspe...
In light of the poor context and informal nature of content on social media platforms, we investigate the role of contextual information from documents, domain models and the social medium to supplement and improve the reliability and performance of existing text mining algorithms for Named Entity ...
This is why it’s important to useAI-powered sentiment analysis tools, to achieve a more efficient and insightful outcome. These make use of data science techniques, using algorithms that identify sentiment from a large dataset almost instantaneously. Also, theartificial intelligence (AI) technology...
In light of the poor context and informal nature of content on social media platforms, we investigate the role of contextual information from documents, domain models and the social medium to supplement and improve the reliability and performance of existing text mining algorithms for Named Entity ...
While software support for array-based, data-parallel algorithms has been studied extensively, less attention has been devoted to irregular parallel applications. The majority of these applications are unstructured, that is, they possess asynchronous components that do not fit the data-parallel model. ...
Echo chambers and filter bubbles are potent metaphors that encapsulate widespread public fear that the use of social media may limit the information that users encounter or consume online. Specifically, the concern is that social media algorithms combined with tendencies to interact with like-minded ot...
This paper presents ideas for learning to understand performance differences among learning algorithms. We propose a descrip-tive meta-learning approach, i.e. being able to thoroughly investigate and explain the rea-sons behind the success or failure of a learn-ing algorithm. We start from an ana...
Combatting AI forgery is a priority for governments, businesses, and high-profile individuals. This typically involves using advanced AI algorithms to detect subtle cues in a subject’s speech, expressions, movements, and contextual data as a means to protect assets and mitigate the risk. Machine ...