Selfie-Objectification:Self-Objectification and Positive Feedback (“Likes”) are Associated with Frequency of Posting Sexually Objectifying Self-Images on Social Media

The present study is the first to examine the extent to which young adult women post objectifying self-images on social media, and whether the frequency of posting such content can be predicted by self-objectification and positive feedback (likes). Eighty-six young adult women from the UK (Age M = 19.88; SD = 1.34, Range = 18-24) completed self-report measures of self-objectification and social media use. The 20 most recent images they had posted on their personal Instagram accounts were downloaded (Image N = 1720) and content analysed for self-objectifying content. The analysis found that 29.77% of participants’ Instagram images were objectified, though there were individual differences. Higher frequency of posting objectified self-images was associated with trait self-objectification and receiving more likes on this type of self-image, relative to non-objectified self-images. The implications of the novel findings for objectification theory are discussed within

Second supplement to the Federated Malay States Government Gazette of Friday, the 6th of October, 1922 (No. 23, Vol. XIV).

No. 629

Sign on a lamp post

Sign on a lamp post that reads, 'Wear a mask, save lives.' Above the message is a picture of a person wearing a mask inside a red heart

View of Gold Spot Pack and Ship on H street NE

View of the entrance to gold Spot Pack and Ship with signs posted in the window and door requiring masks for entry

A Provocation for Rethinking and Democratising Emoji Design

Use of emoji is now pervasive in all manner of online messaging and communication. We review how emoji are selected for inclusion in the widely-accepted Unicode Standard and argue that end users are insufficiently engaged in this design process. We argue that this is a timely topic for discussion and call for suggestions to democratise methods for emoji design and selection. As an example we propose our own online platform for emoji co-design and argue that a design approach that engages with user communities more will result in emoji that are flexible across languages and cultures, and are used more frequently