No abstract

No abstract

No abstract

No abstract

This study examines news framing of partisan media during uprisings. Through mixed methods, it studies the framing of Lebanon’s October 2019 protests, compares frames across political divides, and interprets story themes based on associations between multiple frames. First, the qualitative media framing analysis (MFA) inductively interprets issue-specific frames. Then, the quantitative content analysis deductively examines the developed issue-specific frames and the generic frames across five partisan news channels and tests the relationship between them and across the pro- and anti-protests media. Finally, multiple associated frames are grouped together into news story themes. Results from the MFA reveal six frames: solidarity, head-to-head, individualization, acknowledgment, disruption, and peace through violence frames. The study detected the frequent deployment of the solidarity, conflict, and acknowledgment frames and a significant framing difference between pro- and anti-protest channels. Pro-protest channels more often deployed the solidarity frame, while anti-protest channels more frequently used the conflict, acknowledgment, disruption, and economic consequence frames. Finally, the study developed four story themes based on associations between frames: Blame the protestors or the politicians; protestor violence begets government violence; divided they suffer; and politicians may not only be the culprits but also the solution. The resulting multiframe news themes offer nuanced meaning to generic frames that frequently appear with issue-specific frames and highlight the different roles a singular news frame can play when combined with other frames.