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83 results for “Facebook”
Dataset: The Role of News Consumption on Influencers' Facebook Pages in Threat Perception and Political Conservatism During Times of COVID-19: A Comparative Study between the USA, Spain, and Egypt
<p>Este archivo ofrece los datos en bruto de una encuesta examina el impacto del consumo de noticias en las páginas de Facebook de los influencers en la motivación del conservadurismo político durante amenazas como el terrorismo o las pandemias. Muestra: N=1309, jóvenes de entre 18 y 35 años en Estados Unidos, España y Egipto. Trabajo de campo realizado entre el 10 de agosto de 2021 y el 5 de septiembre de 2021.</p> <p><span>Dataset correspondiente al proyecto El rol de la ciudadanía en la comunicación política digital CI-COMPOL (PID2020-119492GB-I00) financiado por MCIN/AEI/10.13039/501100011033/. IP: Andreu Casero-Ripollés, Departamento de Ciencias de la Comunicación, Universitat Jaume I de Castellón</span></p>
Facebook pages for parties in 2019 EU parliamentary elections
<p>This dataset contains information about the parties from UK, Italy, Germany, Spain, and Poland that ran ads on Facebook during the 2019 EU parliamentary elections. For each party, we manually associated the corresponding Facebook page that ran the ads. We also report the PopuList tags as per https://popu-list.org.</p> <p>"2019 EU elections parties.csv" contains aggregate data:</p> <ul> <li>State: the country of the party</li> <li>Party: acronym of the party</li> <li>Name: extended name of the party</li> <li>Percentage: share of votes in the election</li> <li>Facebook page_name: name of the Facebook page that ran the ads</li> <li>Facebook page_id: id of the Facebook page that ran the ads</li> <li>populist: binary label indicating whether the party is populist according to PopuList</li> <li>farright: binary label indicating whether the party is far right according to PopuList</li> <li>farleft: binary label indicating whether the party is far left according to PopuList</li> <li>eurosceptic: binary label indicating whether the party is eurosceptic according to PopuList</li> <li>found on populist: binary label indicating whether the party is on any list on PopuList</li> <li>seat: whether the party got a seat in any previous national election (selection criterion from PopuList)</li> </ul> <p>"FB ads impressions cost populist demographic votes" contains detailed data:</p> <ul> <li>ad_id: Facebook ad id</li> <li>page_id: id of the Facebook page who published the ad</li> <li>page_name: name of the Facebook page who published the ad</li> <li>ad_creative_body: text of the ad</li> <li>ad_creative_*: other properties of the ad (caption, links, title)</li> <li>ad_delivery_start_time,ad_delivery_stop_time: time of beginning and end of the ad campaign</li> <li>funding_entity: declared party who financed the ad</li> <li>impressions_min, impressions_max: range of impressions for the ad</li> <li>spend_min, spend_max: range of expenditure for the ad</li> <li>ad_url: URL of the ad</li> <li>state: state of the party</li> <li>impression_mean, spend_mean: average number of impressions and expenditure</li> <li>imp_per_day: number of impressions per day</li> <li>populist, farright, farleft, eurosceptic, popu-list: binary tags from PopuList (refer to the description above)</li> <li>female_*, male_*, unknown_*: fraction of impressions for each demographic bucket (defined as gender_age)</li> <li>party: name of the party</li> <li>percentage: share of votes in the election</li> </ul>
A Dataset of Multilingual Facebook Comments on Moros and Armed Conflict in the Southern Philippines
<p>This dataset is a collection of 12,478 social media comments found on the official Facebook pages of ten Philippine newspapers, T<em>he Philippine Daily Inquirer, Manila Bulletin, The Philippine Star, The Manila Times, Sunstar Cebu, Sunstar Davao, Cebu Daily News, The Freeman, Sunstar Davao, MindaNews, </em>and <em>The Mindanao Times</em>, spanning the years 2015, 2017 and 2019. The comments contain terms related to the Moro identity and the Mamasapano Clash, the Marawi Siege and the establishment of BARMM in the southern Philippines, allowing researchers to study semantic fields with regard to Muslims and the relationship between the texts and the source newspaper, their region of origin, and political administration, among other variables. All comments in the dataset were downloaded through Facebook's Graph API via Facepager (Jünger & Keyling, 2019).</p> <p>One CSV file (MMB151719SOCMED_v2.csv) is provided, along with a codebook that contains descriptions of the variables and codes used in the CSV file, and a Readme document with a changelog. </p> <p>Each social media comment is annotated with the following metadata: </p> <ol> <li><strong>object_id</strong>: identifier associated with the comment;</li> <li><strong>message</strong>: the textual string of the comment;</li> <li><strong>message_proc:</strong> the textual string of the comment after pre-processing;</li> <li><strong>lang_label:</strong> categorical value for the language of the comment (Tagalog (Filipino), Cebuano, English, Taglish, Bislog, Bislish, Trilingual or Other);</li> <li><strong>from_name</strong>: identifier of public pages (not profiles of individuals) leaving comments (NaN for profiles of individuals, 'NAME' for public pages besides the newspapers, otherwise, the page name of the newspaper);</li> <li><strong>created_time</strong>: Facebook Graph API's-generated string for the date and time the comment was posted; </li> <li><strong>month_year</strong>: categorical value in the form string+YY (e.g. Jun-15) of the month and year when the comment was posted;</li> <li><strong>year</strong>: numerical value in the form YY; </li> <li><strong>newspaper</strong>: categorical value for the newspaper Facebook page under which the comment was found;</li> <li><strong>corpus</strong>: categorical value for comments from the main corpus or the side (control) corpus;</li> <li><strong>administration</strong>: categorical value for political administration (pbsa = President Benigno Aquino III, prrd = President Rodrigo Roa Duterte);</li> <li><strong>count</strong>: numerical value referring to the number of string sequences without spaces;</li> </ol> <p>The dataset may only be used for non-commercial purposes and is licensed under the <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank" rel="noopener">CC BY-NC-SA 4.0 DEED.</a></p> <p>_____________________________________________________________________________________</p> <p>V2 - 05/06/2024</p> <p>Corrections</p> <ul> <li>Corrections made to region to include Luzon, Visayas and Mindanao (as opposed to Mindanao, non-Mindanao);</li> <li>Corrections made to administration coding. </li> </ul> <p> </p> <p>This dataset is described by: </p> <p><span>Cruz, F. A. (2024). </span><span>A Multilingual Collection of Facebook Comments on the Moro Identity and Armed Conflict in the Southern Philippines<em>. Journal of Open Humanities Data, 10</em>(1), 41. </span><span>DOI: <a href="https://doi.org/10.5334/johd.219" target="_blank" rel="noopener">https://doi.org/10.5334/johd.219</a></span></p> <p> </p> <p><strong>Bibiliography</strong></p> <div> <div>Jünger, J., & Keyling, T. (2019). <em>Facepager: An application for automated data retrieval on the web</em> (4.5.3) [Computer software]. <a href="https://github.com/strohne/Facepager/">https://github.com/strohne/Facepager/</a></div> <div> </div> <div> </div> </div>
Facebook: métricas de uma Biblioteca do Ensino Superior de Lisboa
<p>Análise de três métricas, de atividade, de audiência e <em>engagement </em>(King, 2015). Para obter a Taxa de <em>Engagement </em>(TE)<em> </em>será utilizada a fórmula <span class="math-tex">\(TE = {Engagement \Alcance}\)</span></p>
Auswirkungen von Google, Apple, Facebook, Amazon und Microsoft auf Schule und Unterricht in Deutschland
<p>Google, Apple, Facebook, Amazon und Microsoft (GAFAM) sind einige der größten Unternehmen der IT-Welt. Viele ihrer Produkte werden von Millionen von Personen nahezu täglich genutzt. Ihre Produkte werden unter Anderem auch in Schulen und im Unterricht eingesetzt. Um zu untersuchen, welche Auswirkungen GAFAM auf Schule und Unterricht aus Sicht der Lehrkräften haben, wurde eine Online-Befragung mit Lehrer*innen durchgeführt.</p> <p> </p>
Kinship and Facebook
<p>Those dataset are resulting of the Net-Rom project. There are two documents. 1. A Puck document of a kinship of a roma groupe of 1036 people between 1880 and 2020 in eastern romania.</p> <p> 2. the facebook network od friends of 250 of them.</p> <p>all the datasets are anonimized</p>
facebook social network graph
<p>This dataset is also contained in http://snap.stanford.edu/data/egonets-Facebook.html, but it is converted to one by one single graphs in this dataset.</p> <p>Graph Example:</p> <p># graph_id, graph_activity, number_of_vertices, number_of_edges</p> <p>vertex_1， vertex_2, ... , vertex_n</p> <p>vertex_1 vertex_k edge_label vertex_2 vertex_m edge_label, ..., vertex_i, vertex_j, edge_label</p>
facebook-activity in a Mooc Course
<p>agentxknowledge: Dataset which gathers the information about the interaction performed by learners to certain topics published in facebook as social activity of a Mooc course. It consists on three columns: learner, topic and times that learner participated.</p> <p>agentxagent: Dataset which gathers the information about the interaction performed among learners who participated in a Mooc course. It consists on three columns: learner, learner and times that the first learner answered to the second learner.</p>
Datasample - Social Media Analytics and Metrics of Facebook Performance of Libraries, Archives and Museums
<p>The current dataset describes Facebook pages performance for 220 Libraries, Archives and Museums from all over the world. The performance is measured through 9 different social media metrics. That is, number of posts, link-posts, picture-posts, video-posts, total reactions, comments and shares, number of reactions, comments per post and reactions per post. The data harvesting process has been conducted through the use of FanPageKarma API. The gathered metrics and their values depict the performance for each Facebook page in a time-period of 30 days.</p>
BRAIN Journal-The Presence and Activity on Facebook of the Informative Travel Organizations in Romania-Figure 1. Selected Romanian counties in order to strengthen the target group of tourism organizations with informative role
<p>In this regard, we analysed the current state of presence and communication on Facebook for<br> 109 informative tourism entities located in 25 Romanian counties, selected on the basis of tourist<br> traffic indicators for the period between 2007 and 2013. The structure of the 109 organizations<br> analysed is: 43 tourist information centers (39.45%), 44 entities with the name of the association for<br> tourism promotion, ecotourism promotion, mountaineering promotion etc. (40.36%), 18 tourism<br> clubs (16.51%) and 4 tourist information points/offices (3.67%)</p>
BRAIN Journal-The Presence and Activity on Facebook of the Informative Travel Organizations in Romania-Figure 4. Facebook adoption rate by age group in Romania
<p>Also, according to Facebrands statistics of 15 October 2015, the Facebook penetration rate in the population is 39.76% and in the total number of Romanian Internet users is 82.97%. The statistics infirm the preconceived ideas of skeptics that the websites of socialization have no relevance for tourism organizations because the contained information in these websites is unstructured, inconsistent in terms of content and irrelevant for tourism, or newer, the ideas of those who believe that the majority of Facebook users are young and very young (under 18). From Figure 4 we can see that the segment of major users (over 18 years) totals 88.3% of the total number of Facebook users and these users may have at any time the quality of tourists.</p>
BRAIN Journal-The Presence and Activity on Facebook of the Informative Travel Organizations in Romania-Figure 3. Integration of Social Media elements on tourism organization's websites
<p>Currently, in Romania there are about 8 million Facebook users (Facebrands.ro). In the recent years there has been a spectacular increase of this phenomenon, which shows how important is the use of social networks for an economic and even for a non-profit entity in order to make the brand known or to promote an activity (DailyBusiness.ro). </p>
BRAIN Journal-The Presence and Activity on Facebook of the Informative Travel Organizations in Romania-Figure 2. Online presence through a website of Romanian tourism entities with informative role Source: authors
<p>According to research results (Figure 2), almost 68% of the entities with tourist information and promotion role own a proper site for the presentation of the work, while 18.35%, most probably do not realize in pragmatic terms the usefulness of such promotional tools. The situation can be cataloged as quite worrying, especially if we consider that today, due to the fulminant development of smartphones, more and more tourists choose to seek information on the Internet, even during their trip to a new destination (Wang el. al. 2012).</p>
BRAIN Journal-The Presence and Activity on Facebook of the Informative Travel Organizations in Romania-Figure 5. The attendance rate and active communication on Facebook of the Romanian tourism organizations with informative role
<p>As we can see in Figure 5, the presence on Facebook of the organizations involved in information and promotion of tourism activities (54.12%) is lower than the rate of online presence through a website (67.89%), which broadly confirms that Social Media visibility is the second step in the strategy of online business promotion of entities that were subject of this research. The fact that 99% of the tourist organizations present on Facebook already have a website that promotes their own work confirms the previous statement</p>
BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 13. School girl presenting Vădastra School's Facebook page
<p>In order to achieve the third educational level, we experimented the social media tools, i.e. the project’s Google+ educational blog, by posting information complementary to that available on the Time Maps website, and also thematic questionnaires to foster a question-answer (Q&A) learning style. This allowed us to monitor and evaluate the information retention. In this stage we encountered the challenge to stimulate children and teachers to continue using our learning system, by posting new educational content, announcements and social messages. After a period of experimentation we proceeded to a statistical evaluation of children’s answers, which is presented in the next section.</p>
Visual Abstract for "Incongruent Humour, Advertising Effectiveness and Women: An Experiment On Facebook"
<p>Visual Abstract for "Incongruent Humour, Advertising Effectiveness and Women: An Experiment On Facebook".</p> <p>Ribeiro, L., Petroll, M., Scussel, F., & Damacena, C. (2018). Incongruent Humour, Advertising Effectiveness and Women: An Experiment On Facebook. <em>Revista de Administração Contemporânea, 23</em>(1), 1-22. doi:<a href="https://doi.org/10.1590/1982-7849rac2019180034">https://doi.org/10.1590/1982-7849rac2019180034</a></p>
Linked collectors and determiners for: Taxonomy and Biogeography without frontiers – WhatsApp, Facebook and smartphone digital photography let citizen scientists in more remote localities step out of the dark.
Natural history specimen data linked to collectors and determiners held within, "Taxonomy and Biogeography without frontiers – WhatsApp, Facebook and smartphone digital photography let citizen scientists in more remote localities step out of the dark". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d9953b25-4b14-437c-aecf-1ccb60e8d698">https://bionomia.net/dataset/d9953b25-4b14-437c-aecf-1ccb60e8d698</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d9953b25-4b14-437c-aecf-1ccb60e8d698">https://gbif.org/dataset/d9953b25-4b14-437c-aecf-1ccb60e8d698</a>. Formatted as a Frictionless Data package.
Facebook posts for analyzing Content Strategies for Digital Consumer Engagement: a curated dataset
<p>This database contains public data from publications made on Facebook by small and medium companies in the tourism sector operating in the Amazon region in Brazil. The collection was carried out from January to June 2018 using the public API provided by the platform.</p> <p>These data were processed and classified by different evaluators according to the content categories proposed by <a href="https://doi.org/10.1080/00913367.2017.1405751">Gavilanes</a>. Thus, there is a column in the dataset called "category", which contains the classification of each publication, with each number is associated with a category, as described below:</p> <ul> <li> <p>“0” - No category</p> </li> <li> <p>“1” - New product announcement</p> </li> <li> <p>“2” - Sweepstakes and contest</p> </li> <li> <p>“3” - Sales</p> </li> <li> <p>“4” - Consumer Feedback</p> </li> <li> <p>“5” - Infotainment</p> </li> <li> <p>“6” - Organization Branding</p> </li> <li> <p>“N\A” - Non-agreement between evaluators</p> </li> </ul> <p>Therefore, the columns with data present in the CSV file are:</p> <ul> <li> <p>“status_id” - Identification of each publication in the social network. String Textual content of each publication;</p> </li> <li> <p>“status_message” - The textual content of each publication;</p> </li> <li> <p>“link_name” - Which part of the profile the post are related;</p> </li> <li> <p>“status_type” - The type of the publication is a ’photo’, ’video’, ’status’ and/or ’link’;</p> </li> <li> <p>“status_link” - URL to the publications on the platform;</p> </li> <li> <p>“status_published” - Publication date in the social network;</p> </li> <li> <p>“num_comments” - Numbers of comments made by users;</p> </li> <li> <p>Reactions - Numbers of emoticons reactions from users on post – these numbers are presents in the columns: "num_reactions", "num_shares", "num_likes", "num_loves", "num_wows", "num_hahas", "num_sads", "num_angrys", "num_special";</p> </li> <li> <p>“category” - The category of content that we mentioned before.</p> </li> </ul>
Data mining and sentiment analysis on Twitter and Facebook
<p>Les données récoltées sont sur le sujet "Data mining and sentiment analysis on Twitter and Facebook". Ce jeu de donnée contient la liste des attributs principaux suivants :</p> <ul> <li>titles, titre du fichier PDF,</li> <li>authors, auteurs du fichier PDF,</li> <li>years, année de création du fichier PDF,</li> <li>ncitedby, nombre de citation,</li> <li>linkfiles, liens du fichier PDF,</li> </ul> <p>mais également des métadonnées. </p> <p>La récupération du jeu de données a été récolté sur Google Scholar. Plusieurs recherches sur Google Scholar ont été faites pour ce dernier (voir liens ci-dessous) :</p> <ul> <li>https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=twitter+data+mining+filetype%3Apdf&btnG=</li> <li>https://scholar.google.com/scholar?start=490&q=facebook+data+mining+-Twitter+filetype:pdf&hl=en&as_sdt=0,5</li> <li>https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=seniment+analyse+twitter+filetype%3Apdf&btnG=</li> </ul>
Facebook presence of Bucharest Metropolitan Library during pandemic
<p>This file contains some data regarding the activity of the Bucharest Metropolitan Library on facebook during the pandemic</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.