KONSTRUKSI PEMBINGKAIAN VISUAL EDHY PRABOWO DALAM KASUS KORUPSI BENUR PADA ILUSTRASI SAMPUL MAJALAH DAN KORAN TEMPO

Tempo publications between 23-30 November 2020, raised the issue of corruption in the export of lobster seeds (Bahasa: Benur). Tempo tried to present the figure of Edhy Prabowo on several covers by using a variety of intriguing visual illustrations, surreal depiction and signs. There is an effort to frame the figure of Edhy Prabowo in the case of fry export, visually as well as textually in the article contents . This study uses a qualitative approach with framing analysis method. The Gamson-Modigliani framing analysis model is used to analyze the main cover line texts contained in the cover illustration. To analyze Visual Framing, Rodriguez-Dimitrova's 4 levels of visual framing model was used. Of the 4 covers studied, Tempo seems to be trying to present its main subject in a denotative way, by using Edhy Prabowo's caricature and fry visuals appeared as the image focus. Abstract subjects such as 'export' are presented connotatively through symbols. Edhy Prabowo's visual framing process using illustrations on the cover of Tempo media looks like a visual story highlights, depicting one chapter after another. First act, Edhy Prabowo as an intellectual actor who has power in the fry export game. Second act, Edhy Prabowo fell into his own toy. Third act, flashback of the scheming of new rules for fry export. The fourth act, disclosure of the characters behind the scenes.

Instagram’s #JUUL: who’s posting what

Exposure to e-cigarette (e-cig) marketing through traditional and online media can increase the risk of e-cig use among adolescents. Though popular e-cig brand JUUL has scaled back its social media promotions, outside vendors and individual users create posts about JUUL unregulated. Instagram’s image-focus offers an opportunity to document promotions that may appeal to adolescents. To assess the visual representation of JUUL on social media, we systematically classified discussion topics and themes of posts to Instagram. Of 25,428 unique Instagram images using the hashtag #JUUL retrieved between June 18 and July 18, 2018, a random subsample of 3,000 images (approximately 12% of the full data set) was drawn for human coding and analyses. Coded categories included relevance to JUUL, type of image, image appeal, and user type. Based on the number of relevant images, percentages of image type and appeal for each user type were calculated. There were 583 images that were coded as relevant. The majority of image types (64%) were classified as product (n =; 374). The most frequently coded type of appeal was flavors, found in 54% of images with appeal (n =; 149), followed by cartoons, found in 21% (n =; 57). Vendors were responsible for posting most of the images (n =; 291), followed by e-cig enthusiasts (n =; 99). Continued surveillance of e-cig products, such as JUUL, remains necessary to provide a foundation for potential regulatory protections against marketing and promotions that may appeal to youth.