The use of stock photos in news reporting: A case in 2022 of the Russo-Ukrainian War

Authors

  • Jaime A. Teixeira da Silva independent researcher

DOI:

https://doi.org/10.34767/SIIP.2023.02.04

Keywords:

clickbait, credibility, media manipulation, misleading news, sensationalism, truth

Abstract

The ability to transmit accurate information that does not deceive its readership, and the use of images that reflects the truth of the fact that they are  supposed to be representing, should be an important principle and basal tenet of any traditional or social media-based news or journalistic organization or platform. It is not uncommon to find images or photos that accompany the text of a news article, and the visual impact of an image, as is often expressed in a cliché, can sometimes add much more value than merely the text itself. Whereas some fake news is patently untrue, another gray zone of journalism that is affected by fake news may encompass bias, spin and deceit. Absent rigorous quality control and editing measures, a news source may inadvertently slip into this gray zone, which encompasses the use of stock photos to represent, or supplement, the text of news items. Focusing on photos by a pro-Ukrainian social media app-based news media outlet, this rather unusual case involves a highly topical personality, the President of Ukraine. This article points to how subtle “truth” can change through the use (or abuse) of stock photos. Several images covering May-September of 2022, specifically photos or videos of an unshaven President Volodymyr Zelenskyy in military attire that switch to images of a shaven individual in a suit, and back again, are examined from a single Telegram-based news source. This case notes, using a “soft” example, the risks of “massaging” truth using stock photos. In times of war, especially in the ongoing Russo-Ukrainian War, the accuracy of news, including the non-fictional imagery that accompanies it, is essential, so as to neither mislead nor bias the readership, and to portray the news as accurately and neutrally as possible.

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Published

2024-02-01

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Section

Studies and analysis