Are diverse models really non-idealized? Investigating body positivity public feed posts of fashion and beauty brands on instagram.

Research increasingly explores body positive (BoPo) messaging and diverse model representation in advertising. Fashion and beauty brands are incorporating diverse models in traditional media to address criticisms of promoting narrow appearance ideals, yet their social media communications remain understudied. This content analytical study (n = 460 models, 16 brands) analyzes BoPo messages and diverse model representation in fashion and beauty brands' Instagram posts.

Experimental research on non-idealized models: A systematic literature review.

Current literature on non-idealized models seems to offer mixed evidence on whether such models generate a positive body image and increase advertising effectiveness. To closely investigate this claim, we conducted a systematic review to summarize the empirical findings on the effects of non-idealized models on body image, well-being, and advertising outcomes among men and women. To contextualize these results, we also synthesized (1) the conceptualization of a non-idealized body size (i.

Intercultural insights on the impact of different non-idealized models on men's body image and advertising perceptions.

This experiment with 363 Irish and Flemish men aged 19 to 30 years ( = 23.56, SD = 2.36) investigated exposure to different male model ads (i.

#BeautyInspo: Unraveling the Relationships Between Nonidealized Content on Different Media Platforms, Inspiration, and a Broad Conceptualization of Beauty.

The current literature on nonidealized media content (i.e., content that presents media models that do not follow traditional beauty standards) rarely includes novel positive body image outcomes, such as a broad conceptualization of beauty.

Framing real beauty: A framing approach to the effects of beauty advertisements on body image and advertising effectiveness.

Current literature is inconsistent about the effects of idealized (i.e., thin) vs.