Reading between the lines : is news media in Fiji supporting or challenging gender stereotypes? : a frame analysis of local news media coverage of violence against women during the 16 Days of Activism against Gender-based Violence campaign of 2017

Violence against women is recognised as a global public health issue and an obstacle to development, as ending it is inextricably linked with achieving gender equality. The public relies on and believes in the capacity of news media to present them with a ‘true’ picture of reality and the news media are therefore treated as valuable allies in changing the norms, beliefs and attitudes that perpetuate violence against women. In the production and consumption of news, however, journalists employ frames to condense complex events into interesting and appealing news reports, in turn influencing how audiences view particular events, activities and issues, especially when it comes to attributing blame and responsibility. This study employs a frame analysis to identify whether, and to what extent, episodic or thematic framing is used in news articles on violence against women published in the Fiji Sun and Fiji Times during and around the 16 Days of Activism against Gender-based Violence campaign of 2017. It showed that episodic framing was overwhelmingly used in the sample, thereby divorcing the violence from its social roots and encouraging audiences to blame the individuals involved, both for the violence itself and for remedying it. This directly contradicts the campaign’s central principles positioning violence against women as a social and development issue that requires every member of society to play a part in ending it. The results, therefore, suggest that changes are needed in how organisations engage with the news media to ensure that coverage of violence against women improves in both quantity and quality

Representations of mental health and arts participation in the national and local British press, 2007-2015

We analysed news articles published in national and local British newspapers between 2007 and 2015 to understand 1) how mental health and arts participation were framed and 2) how the relationships between participants in arts initiatives were conceptualised. Using corpus-assisted qualitative frame analysis, we identified frames of recovery, stigma and economy. The recovery frame, which emphasised that mental illness can be treated similarly to physical illness, positioned arts participation as a form of therapy that can complement or substitute medication. The stigma frame presented arts participation as a mechanism for challenging social conceptions that mentally ill individuals are incapable of productive work. The economy frame discussed the economic burden of mentally ill individuals and portrayed arts participation as facilitating their return to employment. Using thematic analysis, which paid attention to the representation of social actors, we found that service users were identified as the prime beneficiaries of arts initiatives and arts participation was conceptualised as a way to bring people with mental health issues together. We discuss these findings against existing research on media representations of mental health and the concept of ‘mutual recovery’ and suggest what wider concurrent developments in the areas of mental health and the media may account for the uncovered frames and themes

Taking the bite out of automated naming of characters in TV video

We investigate the problem of automatically labelling appearances of characters in TV or film material with their names. This is tremendously challenging due to the huge variation in imaged appearance of each character and the weakness and ambiguity of available annotation. However, we demonstrate that high precision can be achieved by combining multiple sources of information, both visual and textual. The principal novelties that we introduce are: (i) automatic generation of time stamped character annotation by aligning subtitles and transcripts; (ii) strengthening the supervisory information by identifying when characters are speaking. In addition, we incorporate complementary cues of face matching and clothing matching to propose common annotations for face tracks, and consider choices of classifier which can potentially correct errors made in the automatic extraction of training data from the weak textual annotation. Results are presented on episodes of the TV series ‘‘Buffy the Vampire Slayer”

Investigating the Relevant Agro Food Keyword in Malaysian Online Newspapers

Online newspaper is a valuable resource of information for decision making. To extract relevant information from them is a challenging process when their volume is massive, and its knowledge is in an unstructured form that is scattered on every page.  This situation becomes more complicated when different news providers have different styles of journalism when reporting a similar event and use different concepts and terms.  In this study, we examined the three Malaysian English online newspapers in order to identify knowledge in terms of the most relevant keywords used in daily online news. The news articles related to Agro-food industries were taken from online news websites - The Star Online, The Sun Daily, and The News Straits Times. During the extraction, about 458 Agro-food industries news articles were scrapped from the website within the time frame of 2014-2017.  The keywords were extracted using the RAKE algorithm and were classified into 4 groups i.e. agriculture, livestock, fishery and miscellaneous. The agriculture keywords group was found as the most frequent keywords in all newspapers (58%) and it was followed by the livestock (23%), fishery (12%), and miscellaneous (7%). Through the analysis, there were 146 Agro-related keywords found in all newspapers, repeated 720 times, and the highest Agro terms were found in The Star Online (35.13%), followed by The Sun Daily (33.78%), and The News Straits Times (31.08%). There were 12 Agro keywords0 which considered as the most relevant when they appear in all newspapers- palm oil, rice, fruits, fish, vegetable, livestock, paddy, crop, chicken, animal, meat, and beef. The ‘palm oil’ is the most popular keyword among the three newspapers and it was found 37 times (38.9%) in The Star Online, 26 times (37.9%) in News Straits Time, and repeated 22 times (23.2%) in the Sun. The identified keywords can be recommended as input to form a future Agro inventory

Broadcasting graphic war violence: the moral face of Channel 4

Drawing on empirical data from Channel 4 (C4) regarding the broadcasting of violent war imagery, and positioned within Goffman’s notion of the interaction ritual (1959, 1967), this article investigates how C4 negotiate potentially competing commercial, regulatory and moral requirements through processes of discretionary decision-making. Throughout, the article considers the extent to which these negotiations are presented through a series of ‘imaginings’ – of C4 and its audience – which serve to simultaneously guide and legitimate the decisions made. This manifestation of imaginings moves us beyond more blanket explanations of ‘branding’ and instead allows us to see the final programmes as the end product of a series of complex negotiations and interactions between C4 and those multiple external parties significant to the workings of their organization. The insights gleaned from this case study are important beyond the workings of C4 because they help elucidate how all institutions and organizations may view, organize and justify their practices (to both themselves and others) within the perceived constraints in which they operate