Abstract: All popular social media sites like Facebook, Twitter, and Pinterest are funded by advertising, and the detailed user data that these sites collect about their users make them attractive platforms for advertisers. In this talk, I will first present an overview of how social media sites enable advertisers to target their users. Next, I will pose and attempt to answer the following four high-level questions related to privacy, fairness, transparency and control of social media advertising today. Privacy threats: what personal information about users are the sites leaking to advertisers to enable targeted ads? Fairness: can an advertiser target users in a discriminatory manner? If so, how can we detect and prevent discriminatory advertising? Transparency: can users learn what personal data about them is being used when they are targeted with an ad? Control: can users control what personal data about them is being used when they are targeted with an ad? About Krishna: Krishna Gummadi is a tenured faculty member and head of the Networked Systems research group at the Max Planck Institute for Software Systems (MPI-SWS) in Germany. He received his Ph.D. (2005) and M.S. (2002) degrees in Computer Science and Engineering from the University of Washington. He also holds a B.Tech (2000) degree in Computer Science and Engineering from the Indian Institute of Technology, Madras. Krishna’s research interests are in the measurement, analysis, design, and evaluation of complex Internet-scale systems. His current projects focus on understanding and building social computing systems. Specifically, they tackle the challenges associated with (i) assessing the credibility of information shared by anonymous online crowds, (ii) understanding and controlling privacy risks for users sharing data on online forums, (iii) understanding, predicting and influencing human behaviors on social media sites (e.g., viral information diffusion), and (iv) enhancing fairness and transparency of machine (data-driven) decision making in social computing systems. Krishna’s work on online social networks, Internet access networks, and peer-to-peer systems has led to a number of widely cited papers and award papers at IW3C2’s WWW, NIPS’s ML & Law Symposium, ACM’s COSN, ACM/Usenix’s SOUPS, AAAI’s ICWSM, Usenix’s OSDI, ACM’s SIGCOMM IMC, and SPIE’s MMCN conferences. He has also co-chaired AAAI’s ICWSM 2016, IW3C2 WWW 2015, ACM COSN 2014, and ACM IMC 2013 conferences.
Twitter ad sparks social media backlash
Twitter ad sparks social media backlash 29 October 2015 Last updated at 14:21 GMT In a first for Twitter, the social network has launched a television advertisement campaign with the hope of attracting more users to the site. However, the fast-paced ad was met with confusion by some viewers – one of whom described it as “incomprehensible”.
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U.S. Senators Blast Social Media Giants Over Russian Ads
Executives from some of the world’s largest social media and Internet companies defended their firms’ policies at a U.S. Senate Intelligence Committee hearing on November 1. (Reuters) Originally published at – https://www.rferl.org/a/us-senators-blast-social-media-giants/28830992.html
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Collaboration of Knowledge Network and E-Learning System with Social Sites for Teaching-Learning ************************************************************************************************ As the world is changing, the new technologies are getting born to interact with the current environment. Most of the students today have a social presence over the social networking sites. The student use these social sites to chat and keep their information updated. The usage of social networking sites among the teaching family has become common; the teachers in the colleges and universities can use these social networking tools for imparting knowledge to their students. In our research we have focused on designing a collaborative knowledge network and e-learning tool, which will help the student and faculty member to collaborate over a common platform. This knowledge-mapping tool will use the APIs of the social networking platforms for sharing the information between social sites and knowledge network tool, thus providing the faculty member, the choice and security to publish notes publicly to social networking websites. The information such as course profile and rubrics of the course will be made available on social networking sites through Metadata repository of Knowledge management tool that will extract the information from Learning Object repository (LOR) of E-learning system. This will create a better teaching and learning environment. Knowledge Network; Social Networking; Teaching and E-Learning; Information sharing; Learning Object Repository (LOR) For More Details Contact Us: **************************** Arihant Techno Solutions Mb: +91-7598492789 Mail: firstname.lastname@example.org