Evidence map›Paper›PMID 35106587›Full record

ArticleThe Gerontologist2022

Hostility Toward Baby Boomers on TikTok.

Reuben Ng, Nicole Indran

Abstract read
In one paragraph

Article in The Gerontologist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  13. Ageism on Twitter during the COVID-19 pandemic.The Journal of social issues · 2022
    Article
  14. 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

2 authors.

Reuben NgLee Kuan Yew School of Public Policy, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-1186-0570
Nicole IndranLee Kuan Yew School of Public Policy, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-3095-2988

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe recent entry of the hashtag #OkBoomer into social media vernacular underscores the collective frustration of younger people with a group whose views they find increasingly incompatible with theirs. Most social media analyses in gerontology focus on the content on Twitter and Facebook, with content on TikTok virtually unexplored. Given the burgeoning popularity of TikTok among younger people, we assess the content of TikTok videos with the hashtags #OkBoomer or #Boomer to distill the undercurrents of hostility expressed by younger people toward Baby Boomers. RESEARCH DESIGN AND

methodsWe collated TikTok videos (N = 332) with the hashtags #OkBoomer or #Boomer, which received over 5.4 billion views. Both inductive and deductive approaches guided the qualitative content analysis of the videos.

resultsFive themes emerged. Most videos (79%) described "Negative Encounters with Baby Boomers" (Theme 1); 58% were about "Conflicting Values/Beliefs between Baby Boomers and Younger People" (Theme 2); 39% were about "Baby Boomers Antagonizing Younger Generations" (Theme 3); 22% of the videos made references to the "Karen Meme" (Theme 4); and 7% bemoaned the existence of a "Wealth Gap" between Baby Boomers and younger people (Theme 5). DISCUSSION AND IMPLICATIONS: Findings reveal that the usage of the hashtags #OkBoomer and #Boomer is highly nuanced, at times explicitly ageist, and at others, emblematic of a phenomenon far more complex than ageism. There is a need to leverage social media as a space to foster interaction between older and younger people. Society is ultimately well served by intergenerational interaction.

Indexed as

GeriatricsSocial MediaHostilityHumansContent analysisGenerational stereotypesIntergenerational tensionTikTokVideos

Identifiers

PMID35106587
PMCPMC9451021

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.