Evidence map›Paper›PMID 33820575›Full record

ArticlePublic health nutrition2022

Brands with personalities - good for businesses, but bad for public health? A content analysis of how food and beverage brands personify themselves on Twitter.

Tenay Greene, Carla Seet, Andrea Rodríguez Barrio, Dana McIntyre, Bridget Kelly, Marie A Bragg

Abstract read
In one paragraph

Article in Public health nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Are wePublic health nutrition · 2026
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Social media: frenemy of public health?Public health nutrition · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tenay GreeneDepartment of Population Health, NYU School of Medicine, 180 Madison Ave, 3rd Floor, New York, NY10016, USA.
Carla SeetDepartment of Population Health, NYU School of Medicine, 180 Madison Ave, 3rd Floor, New York, NY10016, USA.
Andrea Rodríguez BarrioDepartment of Population Health, NYU School of Medicine, 180 Madison Ave, 3rd Floor, New York, NY10016, USA.
Dana McIntyreDepartment of Population Health, NYU School of Medicine, 180 Madison Ave, 3rd Floor, New York, NY10016, USA.
Bridget KellyEarly Start, School of Health and Society, University of Wollongong, Northfields Avenue, Wollongong, NSW2522, Australia.
Marie A BraggDepartment of Population Health, NYU School of Medicine, 180 Madison Ave, 3rd Floor, New York, NY10016, USA.

Funding

Impact of Racially Targeted Food and Beverage Ads on Adolescent BehaviorDP5OD021373 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BRAGG, MARIE · 2015 to 2019
$2.1M
NIH HHS DP5 OD021373
6 · The paper itself

Abstract

objectiveTo examine the extent to which food and beverage brands exhibit personalities on Twitter, quantify Twitter users' engagement with posts displaying personality features and determine advertising spending across these brands on Twitter.

designWe identified 100 tweets from 10 food and beverage brands that displayed a 'personality', and 100 'control' tweets (i.e. a post by that brand on the same day). Our codebook quantified the following personification strategies: (1) humour; (2) trendy language and (3) absence of food product mentions. We used media articles to quantify other personification strategies: (4) referencing trending topics; (5) referencing current events; (6) referencing internet memes and (7) targeting niche audiences. We calculated brands' number of tweets, re-tweets, 'likes', and comments and report the relationship between advertising spending and retweets per follower.

settingTwitter posts.

participantsTen food and beverage brands that were described in media articles (e.g. Forbes) as having distinct personalities.

resultsPersonality tweets earned 123 013 retweets, 732 076 'likes' and 14 806 comments, whereas control tweets earned 61 044 retweets, 256 105 'likes' and 14 572 comments. The strategies used most included humour (n 81), trendy language (n 80) and trending topics (n 47). The three brands that spent the most on advertising had similar or fewer retweets per follower than the four that spent relatively little on advertising.

conclusionsSome food and beverage brands have distinct 'personalities' on Twitter that generate millions of 'likes' and retweets. Some retweets have an inverse relationship with advertising spending, suggesting 'personalities' may be a uniquely powerful advertising tool for targeting young adults.

Indexed as

Social MediaAdvertisingBeveragesHumansPersonalityPublic HealthYoung Adultbrandingfood marketingSocial media marketingtwitter

Identifiers

PMID33820575
PMCPMC8825980

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.