Currently submitted to: JMIR Infodemiology
Date Submitted: Oct 30, 2026
Open Peer Review Period: Nov 9, 2026 - Jan 4, 2027
(currently open for review)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Sentiment analysis of English-language #postpartum tweets (2016-2023): a descriptive study across 11 countries
ABSTRACT
Background:
Social media provides spaces to share postpartum experiences, seek advice and access support outside clinical settings. However, longitudinal and cross-country patterns in postpartum-related emotional language remain comparatively underexplored.
Objective:
This study characterised English-language #postpartum discourse over time and across countries and, as a secondary objective, explored whether its affective characteristics were associated with national perceived social connectedness among women.
Methods:
This descriptive study analysed English-language #postpartum tweets posted between January 2016 and January 2023, collected through academic access to the Twitter API. Tweet volume, engagement metrics, text valence (using VADER) and emotion-related language (using the NRC Emotion Lexicon) were summarized over time and by country. Exploratory ecological correlation analyses tested the hypothesis that higher national levels of perceived social connectedness among women would be associated with greater positive expression in postpartum-related online discourse, assessed using country-level mean VADER positive and negative scores.
Results:
Of 52’423 tweets retained for temporal analyses, 35’423 from 11 countries were included in geographic analyses, including high-, upper-middle-, and lower-middle-income countries, although 95.2% of geolocated tweets originated from high-income countries. The mean VADER compound score regarding 35’423 tweets included in geographic analysis was 0.18 (95% CI 0.18–0.19), with the highest country-level mean in Australia. Trust- and joy-associated language predominated, peaking in 2020, while fear-related language was also frequent. Among the 11 countries, perceived social connectedness was positively correlated with mean VADER positive scores (ρ = 0.63; p = 0.039), while its correlation with negative scores was negative but inconclusive (ρ = −0.51, p = 0.11).
Conclusions:
English-language #postpartum tweets showed geographic and temporal variation in text valence and emotion-related language within a selective corpus dominated by high-income countries. These patterns describe online discourse and should not be interpreted as direct measures of maternal mental health. Exploratory findings suggest that perceived social connectedness may be related to the affective characteristics of postpartum-related online discourse, but this association requires investigation in larger, more representative and temporally aligned datasets. Clinical Trial: not applicable
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.