Mapping breastfeeding and COVID‐19 related content and engagement on Facebook: Results from an online social listening study

White, Becky K; Burns, Sharyn; Carson, Jennie; Scott, Jane

doi:10.1002/hpja.729

Cited by 4 publications

(1 citation statement)

References 19 publications

(41 reference statements)

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“…The exponential growth of community-related discourses in social media has led to non-profits only recently incorporating social network analysis (Alonzo et al 2023) as a part of their community assessments; using tools such as Crowd-Tangle 1 to supplement their traditional methods and study topics of interest in their target communities (White et al 2023). Analyzing community conversations provides an ad-A churches charitable work should absolutely be tax deductible.…”

Section: Introductionmentioning

confidence: 99%

Community Needs and Assets: A Computational Analysis of Community Conversations

Chowdhury,

Sharma,

KhudaBukhsh

2024

ICWSM

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A community needs assessment is a tool used by non-profits and government agencies to quantify the strengths and issues of a community, allowing them to allocate their resources better. Such approaches are transitioning towards leveraging social media conversations to analyze the needs of communities and the assets already present within them. However, manual analysis of exponentially increasing social media conversations is challenging. There is a gap in the present literature in computationally analyzing how community members discuss the strengths and needs of the community. To address this gap, we introduce the task of identifying, extracting, and categorizing community needs and assets from conversational data using sophisticated natural language processing methods. To facilitate this task, we introduce the first dataset about community needs and assets consisting of 3,511 conversations from Reddit, annotated using crowdsourced workers. Using this dataset, we evaluate an utterance-level classification model compared to sentiment classification and a popular large language model (in a zero-shot setting), where we find that our model outperforms both baselines at an F1 score of 94% compared to 49% and 61% respectively. Furthermore, we observe through our study that conversations about needs have negative sentiments and emotions, while conversations about assets focus on location and entities.

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Section: Introductionmentioning

confidence: 99%

Community Needs and Assets: A Computational Analysis of Community Conversations

Chowdhury,

Sharma,

KhudaBukhsh

2024

ICWSM

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The impact of continuous and intermittent supportive counseling on self-efficacy and continuation of breastfeeding in lactating women affected by COVID-19: a quasi-experimental trial

Karimi,

Maleki,

Rastegari

2024

BMC Pregnancy Childbirth

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Background Promoting exclusive breastfeeding can have a great effect in reducing the complications and mortality rate of mother and child. Objective The study aimed to compare the effects of continuous and intermittent supportive counselling on the self-efficacy and continuity of breastfeeding among Lactating mothers with COVID-19. Methods The study was a semi-experimental research method and was conducted on 73 mothers with COVID-19 who were hospitalized in Ayatollah Mousavi Hospital in Zanjan, Iran from May 2021 to April 2022. In the continuous counselling group, counselling was provided daily for 14 days, while in the intermittent counselling group, counselling was provided once a week for four weeks. Breastfeeding continuity was assessed based on the World Health Organization’s classification, and breastfeeding self-efficacy was measured using Dennis’ standard breastfeeding self-efficacy questionnaire (BSE) up to four months after delivery. The data were analyzed using chi-square tests, independent t-tests, paired t-tests, analysis of variance with repeated measures, and survival analysis (Kaplan-Meier) with a 95% confidence level. Results The survival analysis revealed that the cessation of exclusive breastfeeding occurred in 17 cases within the continuous counselling group and in 22 cases within the intermittent counselling group. The rates of continuation for exclusive breastfeeding were 52.8% and 40.5% in the continuous and intermittent counselling group respectively. However, no statistically significant differences were observed in the continuation of breastfeeding and the trend of changes in the mean scores of breastfeeding self-efficacies between the continuous and intermittent counselling groups. Furthermore, comparing the change in breastfeeding self-efficacy scores between the one-month and four-month follow-ups within the continuous counselling group, a statistically significant increase was observed. Conclusion The results indicated no difference in the effectiveness of continuous and intermittent counseling methods in improving breastfeeding continuity in women with COVID-19. Further research is needed to explore the long-term effects of different counseling approaches on breastfeeding outcomes during crises. Trial registration The study was registered on the Iranian Registry of Clinical Trials website on 29/06/2021 with the registration code IRCT20150731023423N19. It can be accessed via this link: https://irct.behdasht.gov.ir/user/trial/55391/view.

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Instagram for audience engagement: an evaluation of CERC framework in the GCC nations for digital public health during the Covid-19 pandemic

Elhersh,

Khan,

Malik

et al. 2024

BMC Public Health

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Background In this study, we investigate the utilization of Instagram by public health ministries across the Gulf Cooperation Council (GCC) nations to disseminate health-related information during the COVID-19 pandemic. With Instagram’s visual-centric approach and high user engagement, the research aims to investigate its critical yet complex role in information dissemination amid a health crisis. Methods To examine how Instagram communication strategies align with the CDC’s Crisis and Emergency Risk Communication (CERC) framework, we employ the content analysis method. This approach helps to evaluate the effectiveness and challenges of employing Instagram for health communication within a region known for its significant social media usage. Results Findings indicate that Instagram serves as a vital platform for the rapid dissemination of health information in the GCC, leveraging its visual capabilities and wide reach. The GCC ministries of health utilized Instagram to demonstrate a consistent and strategic approach to communicate essential COVID-19 related information. Kuwait and Bahrain were the most active of all the assessed ministries with respect to the number of engagement metrics (likes and comments). Most of the posts, as per the CERC framework, were informational and related to vaccine infection and death cases. The second most salient theme in line with the CERC framework was about promoting actions, followed by Instagram posts about activities, events, and campaigns. Conclusions The research underscores Instagram’s potential as a powerful tool in enhancing public health resilience and responsiveness during health emergencies in the GCC. It suggests that leveraging social media, with careful consideration of its affordances, can contribute significantly to effective health communication strategies in times of crisis.

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Mapping breastfeeding and COVID‐19 related content and engagement on Facebook: Results from an online social listening study

Cited by 4 publications

References 19 publications

Community Needs and Assets: A Computational Analysis of Community Conversations

Community Needs and Assets: A Computational Analysis of Community Conversations

The impact of continuous and intermittent supportive counseling on self-efficacy and continuation of breastfeeding in lactating women affected by COVID-19: a quasi-experimental trial

Instagram for audience engagement: an evaluation of CERC framework in the GCC nations for digital public health during the Covid-19 pandemic

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