Content and Engagement Trends in COVID-19 YouTube Videos: Evidence from the Late Pandemic
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866909765891784704 |
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| author | Thakur, Nirmalya Hartel, Madeline D Boden, Lane Michael Enriquez, Dallas Ricks, Boston Joyner |
| author_facet | Thakur, Nirmalya Hartel, Madeline D Boden, Lane Michael Enriquez, Dallas Ricks, Boston Joyner |
| contents | This work investigated about 10,000 COVID-19-related YouTube videos published between January 2023 and October 2024 to evaluate how temporal, lexical, linguistic, and structural factors influenced engagement during the late pandemic period. Publishing activity showed consistent weekday effects: in the first window, average views peaked on Mondays at 92,658; in the second, on Wednesdays at 115,479; and in the third, on Fridays at 84,874, reflecting a shift in audience attention toward mid- and late week. Lexical analysis of video titles revealed recurring high-frequency keywords related to COVID-19 and YouTube features, including COVID, coronavirus, shorts, and live. Frequency analysis revealed sharp spikes, with COVID appearing in 799 video titles in August 2024, while engagement analysis showed that videos titled with shorts attracted very high views, peaking at 2.16 million average views per video in June 2023. Analysis of sentiment of video descriptions in English showed weak correlation with views in the raw data (Pearson r = 0.0154, p = 0.2987), but stronger correlations emerged once outliers were addressed, with Spearman r = 0.110 (p < 0.001) and Pearson r = 0.0925 (p < 0.001). Category-level analysis of video durations revealed contrasting outcomes: long videos focusing on people and blogs averaged 209,114 views, short entertainment videos averaged 288,675 views, and medium-to-long news and politics videos averaged 51,309 and 59,226 views, respectively. These results demonstrate that engagement patterns of COVID-19-related videos on YouTube during the late pandemic followed distinct characteristics driven by publishing schedules, title vocabulary, topics, and genre-specific duration effects. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2509_01954 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Content and Engagement Trends in COVID-19 YouTube Videos: Evidence from the Late Pandemic Thakur, Nirmalya Hartel, Madeline D Boden, Lane Michael Enriquez, Dallas Ricks, Boston Joyner Social and Information Networks Computation and Language Computers and Society Emerging Technologies Machine Learning I.2.7; I.2.8; I.5.4; K.4.2; H.2.8; I.2.6 This work investigated about 10,000 COVID-19-related YouTube videos published between January 2023 and October 2024 to evaluate how temporal, lexical, linguistic, and structural factors influenced engagement during the late pandemic period. Publishing activity showed consistent weekday effects: in the first window, average views peaked on Mondays at 92,658; in the second, on Wednesdays at 115,479; and in the third, on Fridays at 84,874, reflecting a shift in audience attention toward mid- and late week. Lexical analysis of video titles revealed recurring high-frequency keywords related to COVID-19 and YouTube features, including COVID, coronavirus, shorts, and live. Frequency analysis revealed sharp spikes, with COVID appearing in 799 video titles in August 2024, while engagement analysis showed that videos titled with shorts attracted very high views, peaking at 2.16 million average views per video in June 2023. Analysis of sentiment of video descriptions in English showed weak correlation with views in the raw data (Pearson r = 0.0154, p = 0.2987), but stronger correlations emerged once outliers were addressed, with Spearman r = 0.110 (p < 0.001) and Pearson r = 0.0925 (p < 0.001). Category-level analysis of video durations revealed contrasting outcomes: long videos focusing on people and blogs averaged 209,114 views, short entertainment videos averaged 288,675 views, and medium-to-long news and politics videos averaged 51,309 and 59,226 views, respectively. These results demonstrate that engagement patterns of COVID-19-related videos on YouTube during the late pandemic followed distinct characteristics driven by publishing schedules, title vocabulary, topics, and genre-specific duration effects. |
| title | Content and Engagement Trends in COVID-19 YouTube Videos: Evidence from the Late Pandemic |
| topic | Social and Information Networks Computation and Language Computers and Society Emerging Technologies Machine Learning I.2.7; I.2.8; I.5.4; K.4.2; H.2.8; I.2.6 |
| url | https://arxiv.org/abs/2509.01954 |