Framing the First Palestinian General Elections by Malaysia’s New Straits Times

Abstract

The main focus of this study is the coverage of New Straits Times (NST) of the first Palestinian General Elections for two presidential candidates namely, Yasser Arafat and Samiha Khalil. This study aimed to explore if any of Entman's 1993 framing functions was used in the coverage of this issue and to explore whether the tone of NST coverage was negative, positive, balanced or neutral. To achieve the aims of this study, qualitative content analysis of elections stories from NST has been adopted. The number of news stories was eight, and the time frame started from 19th January to 13th February 1996, where three of these stories were published on the same day of 22nd January, two days after holding the elections on 20th January. Defining problems and diagnosing causes were the most prominent of Entman's four framing functions presented in all the articles. The moral judgment function was included in four news stories, and suggesting remedies was included in two news stories out of eight. The findings revealed that Yasser Arafat received 50% balanced coverage, followed by 37.5% positive coverage, and only 12.5% negative coverage, while Samiha Khalil received 67% balanced coverage, compared to 33% positive coverage.

Malaysian Media Coverage of Palestinian Presidents’ Image during Crises 1996-2016

“…The results of Arandas et al (2019) study revealed that the balanced coverage of the New Straits Times about President Arafat was 50%, followed by 37.5% and 12.5% for positive and negative coverage respectively. Arandas et al (2018) showed that President Mahmoud Abbas did not receive any negative coverage from two news agencies.…”

Framing the Peace and War Journalism on the Palestinian Presidents by Malaysian Media

“…The theory of framing is relevant for examining war and peace journalism since it explains how frames, and the embedment of specific understandings within the coverage of media (Fahmy & Eakin, 2014). The framing concept was applied widely in political and mass communication areas (Arandas et al, 2019).…”