We found audience engagement was impacted by these five factors:
1️⃣ Aspects of the image or video itself (colour, lighting, composition, aesthetics)
2️⃣ Aspects of the presentation context (headline, caption, watermark, size)
3️⃣ Some personal connection to the image or video (eg, recognising the person or place shown)
4️⃣ A connection one’s friends, colleagues, or family have or could potentially have to the image or video (eg, seeing your kid's school or sport)
5️⃣ The perceived relevance or impact of the example for the local community writ large (eg, seeing a natural disaster that affects the entire community)
🔗 The open-access study can be read here: www.tandfonline.com/doi/full/10....
🎙️ Here are a couple quotes about audience engagement with #visualnews from a new study, co-authored with Rachael Anderson, and published today in Journalism Practice.
📝💻 We used a digital diary study to explore news visuals that community members thought were interesting, surprising, or remarkable.
T.J. Thomson
T.J. Thomson
T.J. Thomson
T.J. Thomson
A new @theconversation.com article by ADM+S researchers Silvia Montaña-Niño & @tjthomson.bsky.social provides strategies to identify AI generated content.
👉Familiarise yourself with #AIslop
👉Look deeply at details and inconsistencies
👉Look widely & verify the content source
More: bit.ly/4dxmggI
ADM+S researcher @tjthomson.bsky.social explores the idea that AI systems don’t ‘see’ the world like humans do, which is shaping how AI generated images look and feel
Read the full @theconversation.com article here: bit.ly/47eXJZy
#AIgenerated #AIimages
