Now showing 1 - 5 of 5
  • Publication
    Disaffection Anger and Sarcasm: Exploring the Postrevolutionary Digital Public Sphere in Egypt
    (University of Southern California, 2020-01-31) ;
    This article explores the digital public sphere in Egypt through a 3-pronged investigation. First, we examine the media sphere from an institutional point of view. Second, we undertake a qualitative analysis of comments left on popular news pages on Facebook. Third, we discuss the findings of 30 semistructured interviews with young people in Cairo. Our results indicate that the media system is characterized by increasing control that has now extended online, whereas the social media space is dominated by religious personalities and entertainment. Turning to the public, we found that most comments mobilized anger and insults or were ironic and sarcastic. Finally, the interviews point to a disillusionment with both the political sphere and the role of social media. Disaffection is therefore taken to represent the specific structure of feeling found in the postrevolutionary Egyptian mainstream digital public sphere, with publics appearing alienated and unwilling to engage politically.
  • Publication
    Netflix and Binge? Exploring New Cultures of Media Consumption
    (Broadcasting Authority of Ireland, 2019-12-17) ; ;
    This study sought to identify shifts in audience media use and consumption. The study was further concerned with identifying the various ways in which thinking about audiences has shifted within policy discourses, and specifically in the EU audiovisual policy directives. The rationale behind this study was informed by the hypothesis that there is a potential disconnect between the policy and the practices of audiences. The project used a mixed methodology combining 164 weekly media diaries and 7 focus group discussions with users mostly in the 20-55 age category. YouTube and Netflix emerged as the two preferred media for video consumption, while the patterns and rhythms of this consumption followed the rhythms of everyday life and its requirements and practical limitations. The findings further identified three new or underexplored motivations for media use: instrumental, educational and aesthetic. Finally, media audiences emerge as oriented towards interpersonal, social and public media use. The main insight for policy is that audiences operate socially and not individually and that media have expanded in almost all domains of life, from work to aesthetic appreciation.
  • Publication
    Data, Power and Bias in Artificial Intelligence
    Artificial Intelligence has the potential to exacerbate societal bias and set back decades of advances in equal rights and civil liberty. Data used to train machine learning algorithms may capture social injustices, inequality or discriminatory attitudes that may be learned and perpetuated in society. Attempts to address this issue are rapidly emerging from different perspectives involving technical solutions, social justice and data governance measures. While each of these approaches are essential to the development of a comprehensive solution, often discourse associated with each seems disparate. This paper reviews ongoing work to ensure data justice, fairness and bias mitigation in AI systems from different domains exploring the interrelated dynamics of each and examining whether the inevitability of bias in AI training data may in fact be used for social good. We highlight the complexity associated with defining policies for dealing with bias. We also consider technical challenges in addressing issues of societal bias.
  • Publication
    Housing inequality coverage in the media: A comparative analysis
    (University College Dublin, 2024-02-26) ; ;
    This report is the main result of the stay I conducted at University College Dublin - An Coláiste Ollscoile, Baile Átha Cliath (Ireland) for six months, from September 1, 2023, until February 2024, thanks to a Salvador de Madriaga grant by the Spanish Ministry of Universities, to whom I am profoundly grateful for the support, and for the experience of having such an opportunity of living and working abroad.
  • Publication
    Hate Track: Tracking and Monitoring Online Racist Speech
    (Irish Human Rights and Equality Commission, 2018-11-28) ; ;
    The HateTrack Project is an experimental, exploratory research project that combines social, scientific and computational methods to understand online racist speech in the Irish context. The project used insights from civil society and experts in the field of race, racism and hate speech to build a computational tool that harvests and classifies Facebook and Twitter posts in terms of their probability to contain racially-loaded toxic contents. The tool is designed as a monitoring and diagnostic tool of the state of the Irish digital public sphere. While it is currently focused on racially-toxic contents, it can be scaled to other forms of hate and toxicity, such as misogyny and homophobia. Using HateTrack, we generated a dataset which was subsequently analysed in terms of the toxic repertoires it contained, the communities targeted, the kinds of people posting, and the events that trigger racially-toxic contents. Finally, we held workshops with students to identify their views on reporting racist hate speech online.