A UK-based online questionnaire investigating aspects of usage of user-generated media (UGM), such as Facebook, LinkedIn and Twitter, attracted 587 participants. Results show a high degree of engagement with social networking media such as Facebook, and a significant engagement with other media such as professional media, microblogs and blogs. Participants who experience information overload are those who engage less frequently with the media, rather than those who have fewer posts to read. Professional users show different behaviours to social users. Microbloggers complain of information overload to the greatest extent. Two thirds of Twitter-users have felt that they receive too many posts, and over half of Twitter-users have felt the need for a tool to filter out the irrelevant posts. Generally speaking, participants express satisfaction with the media, though a significant minority express a range of concerns including information overload and privacy.
As well as enforced reciprocity, Facebook and LinkedIn differ from Twitter in that they involve a privacy system. Whereas all tweets are public, posts to Facebook and LinkedIn can be seen only by those to whom permission has been granted. Despite this, privacy is more of an issue among Facebook users than Twitter users, perhaps because some kind of decision-making process is entailed. Hoadly @cite_21 investigate the reaction among users when Facebook, in 2006, introduced the news feed, in which information users previously would have had to seek out by going to each others' pages was now aggregated into a time-ordered digest and placed front and centre on the site. "Perceived control" and "ease of information access" were determined to be factors in how comfortable a person feels with privacy aspects of using Facebook. Anecdotally, people seem far more likely to run into trouble with privacy on Facebook than on Twitter; in the UK for example, there have been several convictions resulting from criminal evidence posted by offenders @cite_20 . There is also some suggestion that privacy settings, despite correct use by users, may be overcome relatively easily, making privacy relatively illusory @cite_14 .
@cite_14 @cite_21 @cite_20
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In order to address privacy concerns, many social media websites allow users to hide their personal profiles from the public. In this work, we show how an adversary can exploit an online social network with a mixture of public and private user profiles to predict the private attributes of users. We map this problem to a relational classification problem and we propose practical models that use friendship and group membership information (which is often not hidden) to infer sensitive attributes. The key novel idea is that in addition to friendship links, groups can be carriers of significant information. We show that on several well-known social media sites, we can easily and accurately recover the information of private-profile users. To the best of our knowledge, this is the first work that uses link-based and group-based classification to study privacy implications in social networks with mixed public and private user profiles. Increasingly, millions of people, especially youth, post personal information in online social networks (OSNs). In September 2006, one of the most popular sites—Facebook.com—introduced the features of News Feed and Mini Feed, revealing no more information than before, but resulting in immediate criticism from users. To investigate the privacy controversy, we conducted a survey among 172 current Facebook users in a large US university to explore their usage behaviors and privacy attitudes toward the