
handle: 10316/89118
This paper analyses the main Islamophobic discourses presents in Portuguese media narratives surrounding Muslims and Islam since the 2000s. This analisys is based on data from press and media online, particularly the discursive construction on Muslims and Islam after the 9/11 attacks in U.S., the 2006 Danish cartoon affair, the 2015 Charile Hebdo attack in Paris and the campaign and petition, launched in Portuguese pubic sphere, in May 2016, against the construction of the new Mosque in Greater Lisbon – in Mouraria, where Muslims from South Asian and West Africa live and work. In the first part, I examine how the vast majority Portuguese media and cyberspace narratives tend to represent Muslims and Islam. In the second part, I will show how some journalistc coverages in press and mass media – very often focused in tacking and “correct” negative representations of Muslims and Islam – have depoliticize the debate on anti-Muslim racism in social and political domain, ignoring the institutionalised policies of Islamophobia.
1° Convegno nazionale SIAC «Razza, razzismi, discriminazioni razziali. Il contributo dell'antropologia culturale alla riflessione contemporanea», Sapienza Università di Roma (Roma), 8-10 novembre 2018
Media, Portugal, Muslims, Islamophobia
Media, Portugal, Muslims, Islamophobia
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
