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ShareScore release 0.9.0
Dataset results
12 results for “X's Platform”
(Rawdata) How do Spanish educational researchers use X's platform to promote the dissemination of scientific knowledge: a descriptive study: a descriptive study
<p>Rawdata used in the article 'How do Spanish educational researchers use X's platform to promote the dissemination of scientific knowledge: a descriptive study', from the project Comscienciaeduspain (FCT-20-15761), executed with the collaboration of the Spanish Foundation for Science and Technology – Ministry of Science and Innovation.</p>
(Processed data) How do Spanish educational researchers use X's platform to promote the dissemination of scientific knowledge: a descriptive study: a descriptive study
<p>Processed data used in the article 'How do Spanish educational researchers use X's platform to promote the dissemination of scientific knowledge: a descriptive study', from the project Comscienciaeduspain (FCT-20-15761), executed with the collaboration of the Spanish Foundation for Science and Technology – Ministry of Science and Innovation.</p>
Bilingual Dataset of Multinational Brand Posts and Consumer Replies from Platform X (Turkish and English)
<div> <div> <div> <div> </div> </div> </div> </div> <div> <p>This dataset consists of posts and consumer replies from a curated selection of Fortune 500 companies from 2021 that actively maintained Platform X accounts in both English and Turkish. The sample includes 33 multinational brands spanning various industries: fast-moving consumer goods (FMCG), fast food, technology, automotive, apparel, retail, finance, and logistics.</p> <p>All Platform X messages posted by these brands, along with corresponding consumer responses, were collected over a five-year period, from June 2016 to June 2021. The dataset initially contained a total of 8,101,034 English and 735,459 Turkish messages. Among these, the English dataset includes 2,708,874 brand posts and 5,392,160 consumer replies, while the Turkish dataset comprises 245,422 brand posts and 490,037 consumer replies.</p> <p>All files are in GZIP compressed parquet format.</p> </div>
Publications from government weather and climate authorities on the X platform and replies from citizens in five Brazilian cities during a year between 2021 and 2022
<p>This dataset contains messages published and replies received by government weather and climate authorities on the X (former Twitter) social media platforms. The data comprises government weather and climate authorities for the Brazilian cities of São Paulo, Rio de Janeiro, Belo Horizonte, Porto Alegre, and Belém. Government weather and climate authorities are city hall departments or sectors responsible for informing and keeping the population updated about weather events.</p><p>Publications made by the authority and replies published by citizens to these publications are observed. This data supports the study on the interaction dynamics between the climate authority and citizens over time.</p><p><strong>Data Structure</strong></p><p>Two files are available <strong>publications.csv</strong> and <strong>replies.csv</strong>.</p><p>Each line in the publications' file (<strong>publications.csv</strong>) refers to an authority publication/tweet. For each publication, it is stored the public authority's unique Twitter identifier (<i>AUTHORITY_ID</i>), the tweet unique identifier (<i>TWEET_ID</i>), the Unix timestamp that indicates when it was published (<i>TIMESTAMP</i>), and the text of the publication (<i>TEXT</i>). </p><p>Each line in the replies file (<strong>replies.csv</strong>) is a reply from a citizen to an authority. For each reply, it is stored the authority's unique Twitter identifier (<i>AUTHORITY_ID</i>), the unique identifier of the authority's tweet being replied to (<i>TWEET_ID</i>), the replier masked unique Twitter identifier (<i>AUTHOR_ID</i>), and the reply Unix timestamp (<i>TIMESTAMP</i>) that indicates when it was published.</p><p>All data were collected through the X's application programming interface (API) provided to scientific researchers. Publications and replies were posted by users (authorities and citizens) with public visibility.</p><p><strong>Data Content</strong></p><p>The dataset covers 1-year observation period, starting on July 17, 2021, and ending on June 16, 2022. It contains a total of 10,229 publications and 5,471 replies. The observed authorities are as follows:</p><p> </p><p><strong>City Authority name X handle </strong><i><strong>AUTHORITY_ID</strong></i></p><p>São Paulo Centro de Gerenciamento de Emergências Climáticas da Prefeitura de SP <i>@cge_sp </i>268407434</p><p>Rio de Janeiro Sistema de Alerta localizado no Centro de Operações do Rio (COR) @<i>alertario </i>87487749</p><p>Belo Horizonte Defesa Civil de Belo Horizonte @<i>defesacivilbh </i>837731966</p><p>Porto Alegre Defesa Civil Porto Alegre @<i>defesacivilpoa </i>1037420896473022466</p><p>Belém Defesa Civil de Belém @<i>defesacivilbel </i>1346501728632500225</p><p> </p><p>As weather and climate authorities are government bodies, the whole content of their publications is of public interest according to Brazilian law. Thus, the text messages in their publications on social media are in the public domain and are stored in this dataset. As the data structure describes, text messages of citizens' replies are not stored. According to the terms of use of the X platform, citizen text messages cannot be publicly stored outside the X platform. Such text messages are public on that platform, and, for reproductivity, they can be recollected using the platform web page or API informing the <i>TWEET_ID</i> stored in this dataset.</p>
Dataset for Sentiment Analysis of X platform about "MK Hasil Pemilu"
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Dampak Anonimisasi Melalui Menfess @fess10nopember terhadap Transparansi dan Kebebasan Berpendapat Mahasiswa Sistem Informasi ITS di Platform X
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Transcriptome analysis of Opium poppy using Illumina HiSeq X Ten platform [cultivars]
GEO Series GSE129567. Papaver somniferum. 12 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome analysis of Opium poppy using Illumina HiSeq X Ten platform [growth phases]
GEO Series GSE129566. Papaver somniferum. 12 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome analysis of Opium poppy using Illumina HiSeq X Ten platform [different tissues]
GEO Series GSE129565. Papaver somniferum. 9 samples. Type: Expression profiling by high throughput sequencing.
Real-life Performance Evaluation of the LiFlow X-ray Platform
ClinicalTrials.gov study NCT06999538. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Transcriptome analysis of Opium poppy using Illumina HiSeq X Ten platform
GEO Series GSE129568. Papaver somniferum. 33 samples. Type: Expression profiling by high throughput sequencing.
Evaluation of Football Fan Comments on X Platform with Sen-timent Analysis and Machine Learning: The Case of Turkey
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