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165 results for “political”
IO Islamic. 3216. Two Portions of a Great Work on the Political and Natural History of India
<p>IO Islamic. 3216. Two Portions of a Great Work on the Political and Natural History of India</p>
Figure 1 from: Ek K, Goytia S, Lundmark C, Nysten-Haarala S, Pettersson M, Sandström A, Söderasp J, Stage J (2017) Challenges in Swedish hydropower – politics, economics and rights. Research Ideas and Outcomes 3: e21305. https://doi.org/10.3897/rio.3.e21305
Figure 1 - The challenges of two parallel water management systems.
Build better LibGuides: A dataset of Political Science, Public Affairs, and International Studies LibGuides
<p>The dataset that accompanies the "Build Better LibGuides" chapter of <em>Teaching Information Literacy in Political Science, Public Affairs, and International Studies</em>. This dataset was created to compare current practices in Political Science, Public Affairs, and International Studies (PSPAIS) LibGuides with recommended best practices using a sample that represents a variety of academic institutions. Members of the ACRL Politics, Policy, and International Relations Section (PPIRS) were identified as the librarians most likely to be actively engaged with these specific subjects, so the dataset was scoped by identifying the institutions associated with the most active PPIRS members and then locating the LibGuides in these and related disciplines. The resulting dataset includes 101 guides at 46 institutions, for a total of 887 LibGuide tabs.</p>
Purity, Politics, and Polarization: Political Ideology Moderates Shifts in Moral Purity Beliefs to Economic Threat
<p>Study 1 Variables:</p> <p>Threat: Var00001 (1=threat, 2=control)</p> <p>Anxiety manipulation check: Anxiety</p> <p>Moral Foundations Endorsement: MFQ_HARM_AVG, MFQ_FAIRNESS_AVG, MFQ_INGROUP_AVG, MFQ_AUTHORITY_AVG, MFQ_PURITY_AVG</p> <p>Political Ideology (higher scores mean the participant is more conservative): PolitID</p> <p>Pro-life New Zealand charity: Purity_donation_true</p> <p> </p> <p>Study 2 Variables: </p> <p>Threat: Condition (1=threat, 0=control)</p> <p>Anxiety manipulation check: Anxiety</p> <p>Purity Endorsement: MFQ_HARM_AVG, MFQ_FAIRNESS_AVG, MFQ_INGROUP_AVG, MFQ_AUTHORITY_AVG, MFQ_PURITY_AVG</p> <p>Political Ideology (higher scores mean the participant is more conservative): POLiD</p> <p>Casual sex disapproval: xCASUAL_SEX</p>
Replication data: Political Activists as Free-Riders: Evidence from a Natural Field Experiment
<p>This repository contains the data required to replicate the results for the paper "Political Activists as Free-Riders: Evidence from a Natural Field Experiment".</p>
Sentiment analysis of media's political bias in micro-blogging - A computational framework for optimized recommendation systems
<p>This dataset contains tweets from four Pakistani news channels, namely DAWN, GEO, ARY, and 24News, collected using the twarc command line tool with a Twitter academic researcher account. The tweets were collected between Nov, 2015, and April 4, 2022, and relate to three major political parties in Pakistan, PTI, PMLN, and PPP through their official names in the relevant news channel page tweets. </p>
Development and Polit Study of Get Ready With my Heart Program
ClinicalTrials.gov study NCT06418373. IPD Sharing: NO. Countries: 1. Publications: 0.
Build better LibGuides: A dataset of Political Science, Public Affairs, and International Studies LibGuides
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Solidarity in times of crisis: Political attitudes in Switzerland during COVID-19
<p>Online survey among an online sample of people living in Switzerland, on how the Swiss population was affected by the COVID-19 pandemic and how it thinks about the government's responses</p> <p>Two data files in csv and sav formats, codebook and metadata along DDI Standard</p>
Dataset to Analyze Propaganda in Tweets From Politically Biased Sources
<p><span>Our dataset consists of 32,047 tweets from 44 ac</span><span>count associated with 11 news outlets downloaded between</span><br><span>27th</span><span> </span><span>September 2022 to 3rd</span><span> </span><span>October 2022, from Twitter using </span><span>Twitter Streaming API.</span><br><span>Each tweet is a record that contains the tweet id, number </span><span>of likes, retweet count, isretweeted status, associated bias of</span><br><span>the new outlets according to AllSides Media Bias rating</span><span>, </span><span>and model prediction(1 for propaganda and 0 for non-propaganda)</span></p>
THE USE OF SOCIO-POLITICAL TERMS IN THE NEWS GENRE OF MEDIA TEXT
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ADAPTING SPEAKER'S REGISTER AND TONE IN POLITICAL DISCOURSE INTERPRETING
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Turkish Political Fake News Dataset (TPFND)
<div> <div> <div> <div> <div> <div> <div> <div> <p>The Turkish Political Fake News Dataset (TPFND) presented in this repository was developed as part of the doctoral dissertation.</p> <p>This repository contains the following components:</p> <ol> <li> <p><strong>Original TPFND</strong>: The Turkish Political Fake News Dataset (TPFND) is a meticulously curated dataset developed to address the scarcity of high-quality Turkish political fake news data. The dataset reflects the real-world class imbalance, with 2,308 instances (25%) of verified political fake news and 6,922 instances (75%) of factual political news. The classification of fake news is grounded in evidence from reputable Turkish fact-checking organizations, ensuring the dataset's credibility and reliability.</p> </li> <li> <p><strong>Augmented TPFND</strong>: To mitigate the inherent class imbalance in the original TPFND, this repository includes an augmented version of the dataset. The augmentation process employed a large language model (LLM), specifically the Turkish LLaMA-3 8B model, to generate synthetic samples of Turkish political fake news. This approach effectively increased the representation of the minority class, raising the proportion of fake news instances from 25% to 40% within the augmented dataset.</p> </li> <li> <p><strong>Synthetic Data</strong>: The synthetic data generated by the LLM is also provided in this repository. This synthetic data was carefully calibrated to closely mimic the characteristics and nuances of the original fake news samples, ensuring the integrity and authenticity of the augmented dataset.</p> </li> </ol> <p>The TPFND and its augmented version, along with the synthetic data, serve as valuable resources for researchers and practitioners working on fake news detection, particularly in the Turkish context. The dataset's rigorous development, the incorporation of LLM-generated synthetic data, and the addressing of class imbalance issues make this repository a significant contribution to the field of Turkish political fake news research.</p> <p>Researchers can leverage this dataset and the accompanying synthetic data to develop and evaluate advanced machine learning models for fake news detection. The availability of a controlled, high-quality dataset, coupled with the synthetic data, enables the exploration of novel techniques to enhance the accuracy and robustness of fake news detection, ultimately supporting the fight against the spread of fake news in the digital age.</p> </div> </div> </div> </div> </div> </div> </div> </div> <div> <div> <div> <div> <div> <div> <div> <div> </div> </div> </div> </div> </div> </div> </div> </div>
Measuring the political perceptions of smart city programs: public awareness and government communication in Hong Kong
<p>Video of presentation</p>
TRACES Bulgarian Twitter Dataset on Famous Bulgarian Political Cases of Suspected Lies, Annotated with Linguistic Markers of Lies
<p><strong>This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The dataset contains 15850 tweet IDs of tweets, written in Bulgarian, with annotations. The dataset can be used for general use or for building lies and disinformation detection applications. </strong></p> <p><strong>Note: this dataset is not fact-checked, the social media messages have been retrieved via keywords. For fact-checked datasets, see our other datasets.</strong></p> <p><strong>The tweets (written between 1 Jan 2020 and 7 July 2022) have been collected via Twitter API under academic access in June-July 2022 with the following keywords without retweets:</strong></p> <ul> <li> <p><strong>(ваксиниран депутат) OR (ваксинирани депутати) </strong></p> </li> <li> <p><strong>(язовири премиер) OR (язовири прокуратура) OR (язовири прокуратурата)</strong></p> </li> <li> <p><strong>((мвр хемус) OR мвр) (прокуратура OR прокуратурата)</strong></p> </li> <li> <p><strong>(шефът тотото) OR (изпълнителният директор Българския спортен тотализатор)</strong></p> </li> <li> <p><strong>(кирил петков двойно гражданство) OR (премиер двойно гражданство) OR (премиер гражданство)</strong></p> </li> <li> <p><strong>((Пътна OR загубена OR загуби OR изчезнала) карта газпром)</strong></p> </li> <li> <p><strong>(министър плагиат плагиатство) OR (плагиат плагиатство)</strong></p> </li> <li> <p><strong>((изслушване главния прокурор) OR (иван гешев)) </strong></p> </li> <li> <p><strong>(фалшива диплома)</strong></p> </li> <li> <p><strong>(златни паспорти)</strong></p> </li> <li> <p><strong>(апартаментгейт OR (къща за гости) OR (къщи за гости)</strong></p> </li> <li> <p><strong>(оръжия OR оръжие) (Украйна OR украина)</strong></p> </li> <li> <p><strong>((цена OR цени) (газ OR ток OR нафта OR бензин))</strong></p> </li> <li> <p><strong>(мвр OR данс) (фалшиви новини)</strong></p> </li> <li> <p><strong>(данъци OR данъчни OR данък)</strong></p> </li> <li> <p><strong>((кораб Царевна) OR Царевна)</strong></p> </li> <li> <p><strong>(Северна Македония) </strong></p> </li> </ul> <p><strong>Explanations of which fields can be used as markers of lies (or of intentional disinformation) are provided in our paper:</strong></p> <p>Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Nikolaeva (2023) New Bulgarian Resources for Detecting Disinformation. 10th Language and Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC'23). Poznań. Poland.</p>
DISINFORMATION AND ITS IMPACT ON PUBLIC AND POLITICAL LIFE
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SOVIET GOVERNMENT, POLITICAL SYSTEM AND GEORGIAN INTELLIGENTSIA
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The POLUSA Dataset: 0.9M Political News Articles Balanced by Time and Outlet Popularity
<p>The POLUSA dataset, as presented at the ACM/IEEE Joint Conference on Digital Libraries in August 2020 (JCDL '20)</p>
Data for 'How Centralized is Political Communication on Social Media?'
<p>This file contains the .Rdata files used for the analyses in the manuscript 'How Centralized is Political Communication on Social Media?'.</p>
SWAHILI AND CODE-SWITCHED ENGLISH-SWAHILI POLITICAL HATE SPEECH DETECTION TEXTUAL DATASET
<p>This dataset consist of swahili and code switched English-Swahili tweets labeled for hate speech type,the target and language.</p> <p>The dataset can be accessed upon request from the authors via email addresses:</p> <p> -nodhianbo@gmail.com</p> <p> -endeshanelly@gmail.com</p> <p> -mscci00083@student.maseno.ac.ke</p>
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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.
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.