The number of social media users in Bangladesh was forecast to continuously increase between 2024 and 2029 by in total ***** million users (+****** percent). After the ninth consecutive increasing year, the social media user base is estimated to reach ****** million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of social media users in countries like Sri Lanka and Nepal.

Bangladesh Social Media Management Market is expected to grow during 2025-2031

The number of Instagram users in Bangladesh was forecast to continuously increase between 2024 and 2028 by in total **** million users (+****** percent). After the ninth consecutive increasing year, the Instagram user base is estimated to reach ***** million users and therefore a new peak in 2028. Notably, the number of Instagram users of was continuously increasing over the past years.User figures, shown here with regards to the platform instagram, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Instagram users in countries like Nepal and Sri Lanka.

Depression is one of the most critical mental health issues worldwide, and it is often overlooked in developing countries like Bangladesh. Social media platforms provide a vast amount of user-generated text that can help in identifying depressive symptoms. However, the lack of a standardized corpus for Bangla and code-mixed texts makes research in this area challenging.

Content

This dataset contains 2,235 social media text samples, carefully annotated for depressive and non-depressive categories.

• Depressive: 1,119 samples
• Non-Depressive: 1,116 samples
• Languages: Bangla (বাংলা) and code-mixed English
• Sources: Combination of manually crawled posts + partially derived from existing Kaggle resources, followed by expert annotation and verification

Acknowledgements

This dataset was developed as part of the research paper:
From Social Media to Mental Health Insights: A Hybrid CNN-LSTM Model for Depression Detection in Bangladesh
2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Bangladesh.
DOI: 10.1109/COMPAS.2024.10797102

Citation

If you use this dataset, please cite:

Dataset Citation (APA):
Banik, T., Uddin, A., Asgar, S., Nawar, S., Hosen, M. H., & Saha, A. (2024). Bangladesh Depression Detection Dataset from Social Media (BDDS-2235). East Delta University, Bangladesh.

Dataset Citation (BibTeX): bibtex @dataset{banik2024bdds, author = {Tuntusree Banik and Altaf Uddin and Safa Asgar and Sadia Nawar and Md. Hamid Hosen and Arnob Saha}, title = {Bangladesh Depression Detection Dataset from Social Media (BDDS-2235)}, year = {2024}, publisher = {East Delta University}, note = {Collected and annotated for IEEE COMPAS 2024 paper: From Social Media to Mental Health Insights: A Hybrid CNN-LSTM Model for Depression Detection in Bangladesh}, url = {https://doi.org/10.1109/COMPAS.2024.10797102} }

B-MHD (Bengali Mental Health Disorder Text Dataset)B-MHD is a specialized dataset containing 7,131 manually annotated Bangla social media texts, designed to facilitate the detection of mental health disorder-related content. Curated from platforms such as Facebook, YouTube, Twitter, and Reddit, the dataset includes texts labeled for the presence or absence of mental health indicators.

we have addressed this issue by collecting posts of 40 regular Facebook users from March 15 (the surge of COVID-19 in Bangladesh) to May 30 taking their consent, and identified some temporal trends using the Bag of Words algorithm (a tool from NLP). We further conducted online interviews with the participants about the identified trends and how that affected their psychology. This dataset contains the responses acquired from the interviews.

Facebook has become a crucial digital platform for women in Bangladesh, facilitating novel avenues for interaction, support, and identity formation within a patriarchal societal framework. This mixed-methods study examines the role of Facebook activity in the construction of social capital and the development of identity among Bangladeshi women. The study utilizes survey data from 357 women, analyzed by Partial Least Squares Structural Equation Modeling (PLS-SEM), to investigate the relationships between Facebook usage, network size and diversity, bonding and bridging social capital, and self-identity outcomes. The findings indicate that increased Facebook participation is a strong predictor of both network variety (β = 0.72) and size (β = 0.55), which subsequently improve bonding (R2 = 0.61) and bridging (R2 = 0.43) social capital. These network-derived social resources enhance the dynamism of identity creation (R2 = 0.425), particularly among women with varied digital connections. Qualitative insights derived from 15 comprehensive interviews elucidate these findings: Participants characterize Facebook as a dual-faceted platform broadening perspectives and facilitating self-expression, while also limited by monitoring, conservative standards, and calculated self-presentation. The research incorporates Social Capital Theory, Social Identity Theory, and Goffman’s dramaturgical framework to illustrate how digital environments simultaneously replicate and challenge gendered power dynamics. These findings enhance feminist digital sociology and ICT4D literature by elucidating how social media platforms facilitate empowerment, connectivity, and identity for women in the Global South.

Mental Health and Social Network DataThis dataset contains data used for the analyses included in "A social network analysis of psychological morbidity in an urban slum of Bangladesh" paper. The zip file contains both the data and also the codes that can replicate all the results reported in the main paper and the appendix.bmjopen-2017-020180.zip

The COVID-19 and information flows (CIF) constitutes a household level census of three contiguous villages- Bankina, Roail, and Shatihati, in the Tangail district of Dhaka, Bangladesh. In addition to standard socioeconomic and demographic information (e.g. marital status, employment, age, gender, living conditions, migrants, etc.), the CIF gathers information on respondents' COVID knowledge, attitudes, and practice; traces the social network of information flow between villagers; and elicits information on perceptions of respondent's economic position relative to different reference groups (e.g. neighbors, colleagues, siblings, etc.), subjective well-being, sources of help during Covid related adversities, and household GPS location coordinates. Data on 1,624 households were collected in a single wave during 09/2022 and 10/2022.

The number of users in the digital media market in Bangladesh was forecast to continuously increase between 2024 and 2027 by in total **** million users (+***** percent). After the tenth consecutive increasing year, the indicator is estimated to reach **** million users and therefore a new peak in 2027. Notably, the number of users of the digital media market was continuously increasing over the past years. The Statista Market Insights cover a broad range of additional markets.

BackgroundThe beneficial influence of social networks on health and wellbeing is well-established. In poor urban settlements in Bangladesh, BRAC’s Manoshi programme trains community health workers (CHWs) to support women through pregnancy, delivery and postpartum periods. This paper test the hypothesis that the introduction of CHWs as weak ties into the social networks of Manoshi members mediates improvements in maternal and neonatal health (MNH) best practices by providing support, facilitating ideational change, connecting mother to resources, and strengthening or countering the influence of strong ties.Methods1000 women who had given birth in the last three months were identified and interviewed as part of ongoing monitoring of 5 poor urban settlements in Dhaka, Bangladesh. A social networks questionnaire was administered which elicited women’s perceived networks around pregnancy, delivery and post-partum periods. Mediation analysis was performed to test the hypothesis that penetration of Manoshi CHWs into women’s perceived networks has a beneficial effect on MNH best practises.ResultsThe presence and influence of Manoshi CHWs in women’s networks significantly mediated the effect of Manoshi membership on MNH best practices. Respondents who were Manoshi members and who listed Manoshi CHWs as part of their support networks were significantly more likely to deliver with a trained birth attendant (OR 3.61; 95%CI 2.36–5.51), to use postnatal care (OR 3.09; 95%CI 1.83–5.22), and to give colostrum to their newborn (OR 7.51; 95%CI 3.51–16.05).ConclusionManoshi has succeeded in penetrating the perceived pregnancy, delivery and post-partum networks of poor urban women through the introduction of trained CHWs. Study findings demonstrate the benefits of moving beyond urban health care delivery models that concentrate on the provision of clinical services by medical providers, to an approach that nurtures the power of social networks as a means to support the poorest and most marginalized in changing behaviour and effectively accessing appropriate maternal services.

This study aimed at assessing the prevalence of anxiety among Bangladeshi people during the pandemic in connection with social media exposure (SME) and electronic media exposure (EME).

The number of Facebook users in Bangladesh was forecast to continuously increase between 2024 and 2028 by in total **** million users (+****** percent). After the ninth consecutive increasing year, the Facebook user base is estimated to reach ***** million users and therefore a new peak in 2028. Notably, the number of Facebook users of was continuously increasing over the past years.User figures, shown here regarding the platform facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Facebook users in countries like Pakistan and Sri Lanka.

The dataset primarily evaluates individuals attitude, social norms, perceived behavioural control and online purchase behaviour. The questionnaire consists of two sections: Section A collects demographic and psychographic data, whereas Section B investigates constructs derived from the Theory of Planned Behaviour (TPB). Data collection was carried out in Bangladesh between March and May 2024 using Google Forms and convenience sampling. This resulted in a total of 266 answers, with the majority coming from university students.

The number of LinkedIn users in Bangladesh was forecast to continuously increase between 2024 and 2028 by in total *** million users (+***** percent). After the seventh consecutive increasing year, the LinkedIn user base is estimated to reach ***** million users and therefore a new peak in 2028. User figures, shown here with regards to the platform LinkedIn, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of LinkedIn users in countries like Sri Lanka and Nepal.

The size of the Telecommunication Market in Bangladesh market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 4.31% during the forecast period. Recent developments include: December 2023: BAIRA Life Insurance Company Limited and Teletalk Bangladesh Limited, the state-owned mobile network operator in the country, signed a corporate memorandum of understanding (MoU). Under the agreement, Teletalk Bangladesh Limited would offer its digital corporate solutions, including voice and internet services, to BAIRA Life Insurance Company Limited at an affordable price., December 2023: Bangladesh Telecommunications Company Limited (BTCL) has entered into an agreement with ICT services company Huawei to supply equipment, especially for its 5G Readiness Project, after struggling with various complications. Of the total cost, the project proposed an estimated equipment purchase cost of around BDT 4.63 billion.. Key drivers for this market are: Growing Demand for Geo-based Marketing, Emerging Use-cases for LBS due to High Penetration of Social Media and Location-based App Adoption. Potential restraints include: Rise in the privacy and security issues. Notable trends are: Growth Trends of 5G in Bangladesh are Expected to Drive Market Growth.

Background: Smartphone and social media use are an integral part of our daily life. Currently, the impact of excessive smartphone and social media use during the COVID-19 pandemic is poorly understood. The present study aimed to investigate problematic smartphone use (PSPU) and problematic social media use (PSMU) among Bangladeshi college and university students during the COVID-19 pandemic.Methods: A cross-sectional study was carried out involving 5,511 Bangladeshi college and university students (male: 58.9%; mean age: 21.2 years [SD = 1.7]; age range: 18–25) during the social-distancing in the COVID-19 pandemic (July 2020). A self-reported survey containing questions regarding socio-demographic, lifestyle, and home quarantine activities along with four psychometric scales was completed by participants.Results: The mean scores of PSPU and PSMU were 20.8 ± 6.8 (out of 36) and 14.7 ± 4.8 (out of 30). Based on a hierarchical regression analysis, PSPU and PSMU were positively associated with lower age, poor sleep, social media use, watching television, anxiety, and depression. Additionally, PSMU was linked to being female, living with nuclear family, having urban residence, irregular physical exercise, poor engagement with academic studies, and avoiding earning activities, whilst being male, being married, living with lower-income family, and alcohol consumption were linked to PSMU.Conclusions: The findings indicate that PSPU and PSMU were linked to poor psychological well-being (i.e., anxiety and depression) and other factors (especially lower age, poor sleep) during the pandemic, further suggesting the need for interventions including virtual awareness programs among college and university students.

The number of WhatsApp users in Bangladesh was forecast to continuously increase between 2024 and 2029 by in total *** million users (+***** percent). After the ninth consecutive increasing year, the WhatsApp user base is estimated to reach **** million users and therefore a new peak in 2029. Notably, the number of WhatsApp users of was continuously increasing over the past years.User figures, shown here regarding the platform whatsapp, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of WhatsApp users in countries like Nepal and Sri Lanka.

The dataset consists of two sheets: "Raw Rumor 780 Data" and "Selected 750 data", each documenting political rumors disseminated through social media, focusing specifically on regime change in Bangladesh during the July 24 Movement.

The "Raw Rumor 780 Data" sheet contains 780 records with detailed information about political rumors, including titles, textual content in Bangla, sentiment and emotion analysis, associated tags, and fact-checking statements. This detailed dataset identifies rumors' political alignment ("Pro Opposition," "Pro Ruling"), classifies their authenticity (False, Misleading), and provides original sources for verification. Sentiment analysis classifies rumors by emotional and polarity scores, offering rich insights into how misinformation influenced public sentiment during the political turmoil.

The second sheet, "Selected 750 data," contains 750 entries of curated rumors specifically linked to social media platforms (mainly Facebook). This subset includes essential information like rumor type, regime identification ("Yunus Regime," "Hasina Regime"), publication dates, and direct links to the original social media posts. This focused dataset is streamlined for analyzing dissemination patterns, platforms' roles, and temporal trends in political misinformation aimed at influencing public opinion and regime stability in Bangladesh during this critical political transitio

Myths, misinformation, facts like posts spread by social media during COVID-19 pandemic had an enormous effect on psychological health. This study aimed to investigate social media based COVID-19’s posts and the psychological health status of participants. A cross-sectional, online survey-based study was conducted in between April to October 2021 using a structured and semi-structured questionnaire, predominantly involving 1200 active social network users in Bangladesh. Depression, anxiety, and stress were assessed using the Depression, Anxiety, and Stress Scale (DASS-21), while the Insomnia Severity Index (ISI) measured insomnia severity for selected participants. Internal reliabilities were calculated with Cronbach’s alpha coefficients (cut-off point 0.70). Unrelated multivariate logistic regression explored correlations among outcome errors, with the model assessing the impact of selected independent variables on mental health. The findings demonstrated that 27.8% individuals spread facts whereas 7.4% spread myths and misinformation about COVID-19 on social networks. Furthermore, 28.1% and 36.7% shared obstinate and concerning posts respectively. The prevalence of depression, anxiety and stress symptoms, ranging from mild to extremely severe, were 43.9%, 30.9%, and 23.8% respectively. However, 2.8% had severe level of insomnia. Facts, myths, tour attending, and no mask group photos were significantly associated with anxiety, and less likelihood of experiencing anxiety. Interestingly, circulating such activities on social networks had no significant association with depression, stress, or insomnia. The spread of misinformation on social media undermines any efforts to contain COVID-19 infection. The findings hugely recommend of using fact checking facilities and adaptation to the pandemic situations to maintain lower prevalence of depression, anxiety, stress and insomnia.