|Apps for collaborative analysis of TV content|
| Posted on 26/05/2014 - 11:31|
Our aim is to prototype a set of opensource apps -web, smart TV and mobile- for collaboratively analyzing television content -programmes and advertising-, to discover gender-biased contents and revise women's and men’s representation in the media.
People come in contact with media constantly throughout our daily lives. Media consumption undoubtedly has an impact on our perceptions of each other and ourselves. The effects of the media on perception can even influence on people’s opinions. A number of studies by feminist researchers warn that media contents are still heavily gender-biased. This situation foster adverse effects such as isolation of women who do not fall under the ideal woman portrayed in the media, discourage of women’s political participation and engagement or promotion and maintenance of eating disorders, among others. The challenge that we face is to develop powerful tools to improve women’s representation in the media and prevent gender stereotypes contents through media content analysis.
Our solution has three easy-to-use user-centered design apps to analyze live and recorded TV: a web-based application build on PyBossa (see http://bit.ly/QBYkMw for current projects), a smart TV application (see video below) and a mobile phone application.
Our work plan to accomplish the goals consists in different activities:
[+] Setting up a multidisciplinary project team comprising associations, NGOs, research groups in gender issues and experienced apps developers.
Target group and social impact
In this project we aim to reach people interested in the media and its role in configuring people’s views of reality, with special interest on women’s representation. The social impact can be seen through our target groups: #1. Analysts. By transforming the process of media consumption into an active and critical process, analysts gain greater awareness of the potential for misrepresentation.. #2. Media Industry. By generating open data through collaborative content analysis people could improve media content quality by targeting the media companies channels airing gender-baised contents to foster better quality. #3. General Public. By generating open knowledge our apps could be useful in projects aiming to raise awareness about media's influence on gender-based inequality.
Competences of the applicant
We have been working on analizo.info for the last 15 months. Our current projects include European elections 2014 Parties' manifestos analysis in collaboration with ACPE, development cooperation news analysis in collaboration with Development Cooperation Media Observatory and orthophoto map analysis to identify green infrastructures in collaboration with Per L’horta. http://proyectos.analizo.info
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