The highavailability of geolocation technologies is changing the social media mobile scenario and is exposing users to privacy risks. Different studies have focused on location privacy in the mobile scenario, but the results are conflicting: some say that users are concerned about location privacy, others say they are not. In this paper, we initially investigate attitudes and behaviors of people toward a location-aware scenario; then, we show users the amount of personal and sensitive data that can be extracted from contents publicly available in social platforms, and finally we ask for their opinions about a location-aware scenario. Results show that people who were not initially concerned about privacy are the most worried about the location-aware scenario; conversely, people who were initially concerned are less worried about the location-aware scenario and find the scenario interesting. A deeper analysis of the obtained results allows us to draw guidelines that might be helpful to build an effective location-aware scenario.

Web 2.0 is affecting the structure of our society by creating new spaces of freedom, giving voice to any opinion, easing interpersonal relationships, and encouraging the creation of collaborating collectivities. Technologies such as blog, podcasting, wiki, and news feeds have the power to transform every user from a mere information consumer to a potential producer, from a spectator to an actor. The success of YouTube, MySpace, Facebook, and Wikipedia is under everybody's eyes. Generally speaking, Web 2.0 is seen as a powerful tool that, by exploiting Internet technologies, supplies services to the society, helping the entire socio-cultural system to develop and to move toward a democratic direction. Unfortunately, this imagery is partially distorted: first, Web 2.0 and Internet technologies are differently accessible by different parts of the society and, second, as many sociologists pointed out, their applications often appeal to users' egoistic purposes and self-celebration spirit. Although we cannot dismiss the value of current Web 2.0 applications, we are convinced there is a much more valuable potential that has not been exploited yet. By comparing the immense benefits that Web 2.0 could bring to the whole society, with its factual employment, one could provocatively change the meaning of the acronym WWW into World Wide Waste. We are hence convinced that it is necessary to redesign the utilization paradigm of Web 2.0 and, in general, of the Internet in order to recycle unused parts of Web 2.0 into altruistic bricks that could be appropriately rerouted and composed for alternative, unselfish employment.

The simple act of listening or of taking notes while attending a lesson may represent an insuperable burden for millions of people with some form of disabilities (e.g., hearing impaired, dyslexic and ESL students). In this paper, we propose an architecture that aims at automatically creating captions for video lessons by exploiting advances in speech recognition technologies. Our approach couples the usage of off-the-shelf ASR (Automatic Speech Recognition) software with a novel caption alignment mechanism that smartly introduces unique audio markups into the audio stream before giving it to the ASR and transforms the plain transcript produced by the ASR into a timecoded transcript.