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83 results for “Facebook”
Facebook activity of Romanian libraries during the COVID-19 crisis
<p>This dataset shows the activity on Facebook (no of posts, shares, and reactions) of the Romanian county libraries during the COVID-19 crisis.</p>
Cross-sectional study of Facebook addiction in a sample of Nepalese population
<p><strong>Background</strong>: Facebook addiction is said to occur when an individual spends an excessive amount of time on Facebook, disrupting one's daily activities and social life. The present study aimed to find out the level of Facebook addiction in the Nepalese context and briefly discuss the crimes associated with its unintended use.</p> <p><strong>Methods: </strong>A descriptive cross-sectional study was conducted in the Department of Forensic Medicine of Lumbini Medical College. The study instrument was the Bergen Facebook Addiction Scale typed into a Google Form and sent randomly to Facebook contacts of the authors. The responses were downloaded in a Microsoft Excel spreadsheet and analyzed using Statistical Package for Social Sciences version 16.</p> <p><strong>Results: </strong>The study consisted of 103 Nepalese participants, of which 54 (52.42%) were males and 49 females (47.58%). There were 11 participants (10.68%) who had more than one Facebook account. When different approaches were applied it was observed that 8.73% (n=9) to 39.80% (n=41) were addicted to Facebook.</p> <p><strong>Conclusion: </strong>When used properly Facebook has its own advantages. Excessive use is linked with health hazards including addiction and dependency. Students who engage more on Facebook will have less time studying leading to poor academic performance.People need to be made aware of the issues associated with the misuse of Facebook</p>
A dataset of media releases (Twitter, News and Comments, Youtube, Facebook) form Poland related to COVID-19 for open research
<p>Social behavior has a fundamental impact on the dynamics of infectious diseases (such as COVID-19), challenging public health mitigation strategies and possibly the political consensus. The widespread use of the traditional and social media on the Internet provides us with an invaluable source of information on societal dynamics during pandemics. With this dataset, we aim to understand mechanisms of COVID-19 epidemic-related social behavior in Poland deploying methods of computational social science and digital epidemiology. We have collected and analyzed COVID-19 perception on the Polish language Internet during 15.01-31.07(06.08) and labeled data quantitatively (Twitter, Youtube, Articles) and qualitatively (Facebook, Articles and Comments of Article) in the Internet by infomediological approach.</p> <p>- manually labelled1,449 articles / Facebook posts from Lower Silesia (facebook_articles_lower_silesia.zip) and 111 texts from outside this region;</p> <p>-manually labelled 1000 most popular tweets (twits_annotated.xlsx) with cathegories is_fake (categorical and numeric) topic and sentiment; </p> <p>-extracted 57,306 representative articles (articles_till_06_08.zip) in Polish using Eventregitry.org tool in language Polish and topic "Coronavirus" in article body;</p> <p>- extracted 1,015,199 (tweets_till_31_07_users.zip and tweets_till_31_07_text.zip) and Tweets from #Koronawirus in language Polish using Twitter API.</p> <p>- collected 1,574 videos (youtube_comments_till_31_07.zip and youtube_movie.csv) with keyword: Koronawirus on YouTube and 247,575 comments on them using Google API;</p> <p>- We supplemented the media observations with an analysis of 244 social empirical studies till 25.05 on COVID-19 in Poland (empirical_social_studies.csv).</p> <p>Reports and analyzes and coding books can be found in Polish at: <a href="http://www.infodemia-koronawirusa.pl/percepcja-koronowirusa-na-dolnym-slasku/">http://www.infodemia-koronawirusa.pl</a></p> <p>Main report (in Polish) https://depot.ceon.pl/handle/123456789/19215 </p>
Brazilian Facebook Public Pages - Posts and Comments: a research on conservative mentality
<p>Data used in: Lerner, Celina. "A mentalidade conservadora no Brasil: uma análise da interação política em redes sociais digitais" - Doctoral Thesis, PCHS/UFABC ,2019</p> <p>Facebook Public Pages posts and comments<br> <br> - Pages:</p> <ol> <li>padrepaulo, id: 101088766634343</li> <li>flaviobolsonaro; id: 156951837773645</li> <li>CampanhadoArmamento; id: 170649656341921</li> <li>carvalho.olavo; id: 275181425967272</li> <li>DireitaConservadoraOficial, id: 307492775999491</li> <li>OPesadelodeQualquerPolitico2.0; id:405845152892440</li> <li>MisesBrasil; id: 91754571355</li> </ol> <p>- since: 01/01/2012; to: 31/12/2018</p> <p>- files in each *.zip: 1. page posts; 2. stats per day; and 3. top comments (200 top comments per post)</p> <p>Dataset scraped from Facebook with Netvizz (Rieder, 2013). Function: Page Posts, 200 top comments by page</p> <blockquote> <p>File Column Explanations</p> <p><strong>post stat file - tsv format - rows are posts</strong><br> <em>type:</em> Facebook's post classification (e.g. photo, status, etc.)<br> <em>by:</em> either"post_page_pageid" (post by page) or "post_user_pageid" (post by user);<br> <em>post_link:</em> direct link to the post;<br> <em>post_message:</em> text of the post;<br> <em>picture:</em> the picture scraped from any link included with the post;<br> <em>full_picture:</em> the picture scraped from any link included with the post (full size);<br> <em>link:</em> link URL (if the post points to external content);<br> <em>link_domain:</em> domain name of link;<br> <em>post_published:</em> publishing date<br> <em>post_published_unix:</em> publishing date as Unix timestamp (for easy conversion and ranking);<br> <em>post_published_sql:</em> publishing date in SQL format (some analysis tools prefer this);<br> <em>likes:</em> number of actually retrieved likes a post received or a user made;<br> <em>likes_count_fb:</em> Facebook provided like count for posts;<br> <em>comments_count_fb:</em> Facebook provided comment count for posts;<br> <em>reactions_count_fb:</em> Facebook provided reactions count for posts (includes likes);<br> <em>shares_count_fb:</em> Facebook provided share count for posts;<br> <em>engagement:</em> sum of comment, reaction, and share counts;<br> <em>comments_retrieved (not in "stats_only" mode):</em> actually retrieved comments (may be lower than comments_count_fb due to privacy or deletion);<br> <em>comments_base (not in "stats_only" mode):</em> number of base level comments (in threaded conversations);<br> <em>comments_replies (not in "stats_only" mode):</em> number of reply level comments (in threaded conversations);<br> <em>comment_likes_count (not in "stats_only" mode):</em> number of likes on comments for this post;<br> <em>rea_X:</em> these columns give counts for the retrieved reactions (NONE, LIKE, LOVE, WOW, HAHA, SAD, ANGRY, THANKFUL);</p> <p><strong>comments file - tsv format - rows are comments</strong><br> <em>position:</em> postnumber_commentnumber, e.g. 0_0 for the first comment on the first post; <em>post_id:</em> id of the post;<br> <em>post_by:</em> author of the post;<br> <em>post_text:</em> text of the post;<br> <em>post_published:</em> publishing date of the post;<br> <em>comment_id:</em> id of the comment;<br> <em>comment_by:</em> author of the comment (column no longer in use, remains for compatibility);<br> <em>is_reply:</em> whether the comment is a reply to another comment (in threaded conversations);<br> <em>comment_message:</em> text of the comment;<br> <em>comment_published:</em> publishing date of the comment;<br> <em>comment_like_count:</em> number of likes on the comment;</p> </blockquote>
Facebook Review
<p>User Reviews for Facebook - Downloaded from Google Play Application.</p>
WRITING BEYOND BORDERS: A FEMINIST READING OF THREE FEMALE BUDDING FACEBOOK POETS.
<p>Abstract<br>The world is evolving at a phenomenal rate due to the growth of technology. It<br>is so pertinent that if you are not evolving with the technology, you will become<br>moribund with time. Literature has equally evolved and adapted to the<br>different technological growth. This paper purposively selects three female<br>Facebook poets (Inyang Edoho, Udeme Mbossoh, and Titilayo Adeoye) and<br>examines two poems from each poet. Using both the feminist theory and the<br>reader-response theory in the analysis of the selected poems, this paper<br>discovers that Facebook is a veritable platform to express one's opinion, belief,<br>and ideas without fear of religion, society, or gender. Poetry is a high art of<br>literary expression. It distinguishes the poet as a creative writer and gives<br>him/her the space to not only interact but also gets constructive criticism from<br>the readers and serve as a muse to other creative writers. This interaction with<br>critics and a source of inspiration for other creative writers will act as a drive<br>for the poet to develop and improve on his/her creative art.</p> <p> </p>
Commonfare Facebook insights 1-10-2016_30-6-2019
<p>Facebook metrics of the Commonfare project facebook page for the period 1 October 2016 - 30 June 2019.</p>
Political Advertising on Facebook During the 2022 Australian Federal Election
<p>This repository contains data on political advertisements posted on Facebook and Instagram during the three months leading up to the 2022 Australian federal election. The data was collected using the Meta Ad Library API and provides insights into digital political campaigning strategies in Australia.</p> <h2>Contents</h2> <p>The repository includes the following files:</p> <ul> <li><code>datasheet.txt</code>: A detailed datasheet following the guidelines of Gebru et al. (2021), providing transparency about data collection, preprocessing, and handling procedures.</li> <li><code>party_information.csv</code>: Manually annotated data matching candidates, electorates, and parties based on ad funding entity information.</li> <li><code>maps_australia.zip</code>: A set of Australian maps used for visualizing the geographical distribution of ads during the campaign period.</li> <li><code>2022_AU_election_raw.zip</code>: Raw data collected from the Meta Ad Library API, containing comprehensive information on political ads run on Facebook and Instagram in Australia during the specified period.</li> <li><code>keywords.csv</code>: A curated list of keywords relevant to the 2022 Australian federal election, useful for content analysis and topic modeling of the advertisements.</li> </ul> <h2>Related Code Repository</h2> <p>The code used to analyze this data and reproduce the results presented in the paper "Political Advertising on Facebook During the 2022 Australian Federal Election" can be found in a separate repository:</p> <p><a href="https://anonymous.4open.science/r/Political-Advertising-2022-AU-Federal-Election-3E75/README.md">https://anonymous.4open.science/r/Political-Advertising-2022-AU-Federal-Election-3E75/README.md</a></p> <h2>References</h2> <p>Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Iii, H. D., & Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64(12), 86–92.</p>
Annotation of Facebook ads in 2019 EU parliamentary elections
<p>This dataset contains manual annotation for ads from parties from UK, Italy, Germany, Spain, and Poland that ran ads on Facebook during the 2019 EU parliamentary elections and that were defined as "populist" by popu-list.org. For each ad, we qualitatively identified a primary issue, a sub-issue, and a stance with respect to the sub-issue. The annotation was performed through an open coding procedure. More information is reported in our paper "The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections".<br> More information about the same ads is reported in: https://zenodo.org/record/6597765<br> <br> This TSV file contains the following columns:<br> - "state": the country of the ad.<br> - "ad_id": the original id of the ad.<br> - "link": a link to the ad.<br> - "page_name": name of the page running the ad.<br> - "is_local": whether the ad is related to local elections or not (if not, it's related to the 2019 EU Elections).<br> - "issue": a comma-separated list of the main issues of the ad.<br> - "sub-issue": a comma-separated list of sub-issues of the ad.<br> - "stance": a comma-separated list of stances of the ad.</p>
TopPosts Facebook Initial Dataset
<p>The current dataset is composed of 1290 comments derived from the Facebook official pages of more than 100 Libraries, Archives and Museums (LAMs) from all over the world. The dataset is consisted from 11 different columns, that is, 11 different Facebook metrics: date, last day of data pre- processing, total number of days, message (initial), translate in English, post length, page, number of likes, number of comments (total), post interaction, link. These text data could be a valuable resource for researchers and social media administrators of LAMs with the purpose to set up well-informed social media strategies improve the content that they post, and thus users’ engagement.</p>
The Healthy Moms Study: Comparison of a Post-Partum Weight Loss Intervention Delivered Via Facebook or In-Person Groups
ClinicalTrials.gov study NCT03700736. IPD Sharing: NO. Countries: 1. Publications: 2.
Facebook and Friends: Developing an Effective Online Social Network for Weight Loss
ClinicalTrials.gov study NCT02656680. IPD Sharing: NO. Countries: 1. Publications: 2.
A Pilot Study Using Facebook to Support Opioid Recovery Among American Indian Women
ClinicalTrials.gov study NCT05340855. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Cross-sectional study of Facebook addiction in a sample of Nepalese population
Open the record for dataset details and reuse information.
Data from: Facebook groups as citizen science tools for plant species monitoring
Open the record for dataset details and reuse information.
Plano de Gestão de Dados de Pesquisa e Dataset (Postagens das páginas públicas do Facebook de candidatos à presidência)
<p>Com base nos princípios da Ciência Aberta, bem como estímulo à reutilização de dados de pesquisa, disponibilizo o Plano de Gestão de Dados de Pesquisa e o Conjunto de Dados Brutos de Pesquisa da Dissertação de Mestrado no Programa de Pós-Graduação em Ciência da Informação, no Instituto Brasileiro de Informação em Ciência e Tecnologia (IBICT), em convênio com a Escola de Comunicação (ECO), da Universidade Federal do Rio de Janeiro (UFRJ).</p>
Lucas-Czarnecki/Facebook_Canada2015: The 2015 Canadian Federal Election on Facebook
<p>This repository contains Facebook user data from the 2015 Canadian general election. Data consists of federal party leaders’ campaign messages (N = 1,711) and the responses to those messages from everyday Facebook users (n = 92,516).</p>
Social circles from Facebook (anonymized)
<p>Taken from the SNAP Datasets, we used this dataset to inspire our random dataset generating machinery to evaluate several tools part of the DICE methodology.</p>
Guide d'entretien module TIC et Facebook Panel de Caen vague 6
<p>Module du guide d'entretien portant sur les outils de communication, pour la vague 6 du Panel de Caen. Pour situer ce module, se référer à la présentation du Panel de Caen: https://doi.org/10.5281/zenodo.159941</p>
FIGURE 5 in A hidden pygmy devil from the Philippines: Arulenus miae sp. nov. — a new species serendipitously discovered in an amateur Facebook post (Tetrigidae: Discotettiginae)
FIGURE 5. Distribution of A. miae Skejo & Caballero sp. nov. generated from available georeferenced localities (see Material examined section).
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.