Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
165
datasets available to search
ShareScore release 0.9.0
Dataset results
165 results for “political”
Correlates of Political Correctness and Woke Ideology (data and codebook)
<p>This study explored the different correlates of political correctness and Woke philosophy. Based on the existing<br> literature, a new 42-item questionnaire called Controversial Beliefs was created and completed by 400 adults.<br> Participants were invited to write comments on each item and had the option to not respond (Prefer not to say). Various factors were devised based on a content analysis conducted around the themes of Race, Gender and Feminism, which had acceptable<br> internal reliability. </p>
An approach to the effects and characteristics of political participation through donations in political crowdfunding campaigns in Spain
<p>Dataset used for the research article entitled "An approach to the effects and characteristics of political participation through donations in political crowdfunding campaigns in Spain".</p>
Interactive Documentary Theory and Debate: Participation and Politics
<p>Interactive Documentary Theory and Debate: Participation and Politics by Kate Nash, University of Leeds 7th October 2021 held in the context of the virtual lecture series, hosted by the University of Bayreuth as a part of the research project Digital Documentary Practices – Topical paradigm shifts and the potential of emerging practices to participate in public discourses. </p> <p><a href="https://did.avinus.org/virtuelle-ringvorlesung-1/ ">https://did.avinus.org/virtuelle-ringvorlesung-1/ </a></p> <p>Kate Nash has not only been working on both the documentary film and on digital media; rather she exactly investigating this relationship between documentary’s tradition and documentary’s future, analysing on presently emerging documentary practices. “There is a sense of profound change, of new possibilities, and traditions overturned”, she states in her latest publication, Interactive Documentary. Theory and Debate. And yet, in this comprehensive monograph tracing continuities as well as turning points in the evolution of digital and documentary practices, she challenges tendencies to approach interactive documentary primarily from the perspective of total novelty and change because there are more evolutionary connections than revolutionary ruptures to be found. On this basis, Kate focus in her video on Participation and Politics. </p> <p>Having come from a background in media production, specializing in documentary, Kate focusses in her research on the production, circulation and impacts of factual media – thus also documentary. Being on of the most renowned scholars in the field of interactive documentary, her research output is incredible, and a list of publications in this area is tremendous. To give you just a glimpse on the scope of issues Kate has been analyzing in this context in the last year, let me just drop some titles: Among other’s, Kate is the author of “Modes of interactivity: analysing the webdoc”, “Telling stories: the narrative study of documentary ethics” (2012), “Clicking on the real: telling stories and engaging audiences through interactive documentaries” (2014), “Strategies of interaction, questions of meaning” (2014), “What is interactivity for? The social dimension of web-documentary participation” (2015), and “I-docs and the documentary tradition: exploring questions of citizenship” (2017). Most recently, Kate has also tackled the issue of ethics and VR documentary, editing a special issue in Studies in Documentary Film, and together with Craig Hight and Catherine Summerhayes, she edited New Documentary Ecologies. Emerging Platforms, Practices and Discourses (2014). And, as already mentioned, in her latest monograph, she investigates Interactive Documentary. Theory and Debate (2021). Moreover, Kate is a Co-Editor of the documentary studies journal Studies in Documentary Film. Currently, she is developing research in the area of health and environmental documentary, focusing particularly on engagement and impact.</p>
Data from: Delisting the Northern Rocky Mountain Gray Wolf from the U.S. Endangered Species Act: An assessment of political discourse over 20 years
Open the record for dataset details and reuse information.
Dataset: Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board
<p>This is the dataset released with the <a href="https://arxiv.org/abs/2001.07487">paper</a> titled: "Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board".</p> <p>The dataset is a single <a href="http://ndjson.org/">Newline delimited JSON file</a>. Each line in the file consists of a JSON object which is a full 4chan /pol/ thread. The JSON objects contain all the key/values returned by the <a href="https://github.com/4chan/4chan-API/blob/master/pages/Threads.md">4chan API</a>, along with three additional keys (<em>entities, perspectives</em>, and <em>extracted_poster_id</em>).</p> <p>For each JSON object we complement the data with the list of the named entities we detect for each post, using the <a href="https://spacy.io/api/annotation#named-entities">spaCy </a>Python library. In addition, for each post we add scores returned by the Google’s <a href="https://www.perspectiveapi.com/#/home">Perspective API</a>, and more specifically seven scores in the [0; 1] interval.</p> <p>For the detailed description of every <em>key </em>in the JSON structure, along with the type of the <em>value</em>, please read the readme.pdf file provided with this dataset.</p> <p>If you find our dataset useful, please cite our paper:</p> <blockquote> <pre>@article{papasavva2020raiders, title={Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board}, author={Antonis Papasavva, Savvas Zannettou, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn}, journal={14th International AAAI Conference On Web And Social Media (ICWSM), 2020}, year={2020} }</pre> </blockquote> <p> </p> <p><strong>How to extract the data:</strong></p> <p>Note that the data is compressed. See the instructions below on how to extract the data:</p> <ul> <li><strong>Linux and Mac</strong></li> </ul> <p>Step 1: Open a terminal window and navigate to the path where the file <em>pol_0616-1119_labeled.tar.zst </em>is located.</p> <p>Step2: Run the following command:</p> <pre><code>unzstd pol_0616-1119_labeled.tar.zst</code></pre> <p>The above command will result in a file named <em>pol_0616-1119_labeled.tar. </em>(in the same directory)</p> <p>Step 3: Again, from your terminal window, run this command:</p> <pre><code>tar -xvf pol_0616-1119_labeled.tar</code></pre> <p>When the above command finishes, you will get (in the same directory) the extracted data - a file named <em>pol_062016-112019_labeled.ndjson.</em></p> <ul> <li><strong>Windows</strong></li> </ul> <p>There are many applications that can be used to extract this data on Windows available online. The authors cannot recommend specific applications. Note that the file is compressed twice so you will need to perform the data extraction twice - once on the downloaded file, and once on the file that was extracted from the downloaded file.</p> <p> </p> <p>Please do not hesitate to contact the author of this study in case you face any problem at: antonis.papasavva@ucl.ac.uk</p>
PolSentiLex: Sentiment Detection in Socio-Political Discussions on Russian Social Media
<p>A Russian-language sentiment lexicon for social media discussions on political and social issues.</p> <p>The file contains raw markings collected with LINIS coding service <a href="https://linis-crowd.org">https://linis-crowd.org</a> [in Russian].</p> <p>Learn more about PolSentiLex in our papers:</p> <ul> <li> <p>Koltsova, O., & Alexeeva, S. (2015). Linis-crowd.org: A lexical resource for Russian sentiment analysis of social media [Linis-crowd.org: Lexichesk resurs dl’a analiza tonal’nosti sotsial’no-politicheskix tekstov]. Computational Linguis- Tics and Computantional Ontologies: Proceedings of the XVIII Joint Conference “Internet and Modern Society (IMS-2015)” [Kompyuternaya Lingvistika i Vyichis- Litelnyie Ontologii: Sbornik Nauchnyih Statey. Trudyi XVIII Ob’edinennoy Konferen- Tsii «Internet i Sovremennoe Obschestvo» (IMS-2015)], 25–34. [in Russian] URL: <a href="https://scila.hse.ru/data/2020/06/02/1603986481/koltsovaoyuetal.pdf">https://scila.hse.ru/data/2020/06/02/1603986481/koltsovaoyuetal.pdf</a></p> </li> <li> <p>Koltsova, O., Alexeeva, S., & Koltsov, S. (2016). An Opinion Word Lexicon and a Training Dataset for Russian Sentiment Analysis of Social Media. Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2016”, 277–287. URL: <a href="http://www.dialog-21.ru/media/3400/koltsovaoyuetal.pdf">http://www.dialog-21.ru/media/3400/koltsovaoyuetal.pdf</a></p> </li> <li> <p>Koltsova O., Alexeeva S., Pashakhin S., Koltsov S. (2020) PolSentiLex: Sentiment Detection in Socio-Political Discussions on Russian Social Media. In: Filchenkov A., Kauttonen J., Pivovarova L. (eds) Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information Science, vol 1292. Springer, Cham. <a href="https://doi.org/10.1007/978-3-030-59082-6_1">https://doi.org/10.1007/978-3-030-59082-6_1</a></p> </li> </ul>
Data from: Finding politically feasible conservation policies: the case of wildlife trafficking
Conservation management is of increasing importance in ecology as most ecosystems nowadays are essentially managed ones. Conservation managers work within a political-ecological system when they develop and attempt to implement a conservation plan that is designed to meet particular conservation goals. In this article, we develop a decision support tool that can identify a conservation policy for a managed wildlife population that is both sustainable and politically feasible. Part of our tool consists of a simulation model composed of interacting influence diagrams. We build, fit, and use our tool on the case of rhino horn trafficking between South Africa and Asia. Using these diagrams, we show how a rhino poacher's belief system can be modified by such a policy and locate it in a perceived risks-benefits space before and after policy implementation. We statistically fit our model to observations on group actions and rhino abundance. We then use this fitted model to compute a politically feasible conservation policy.
AI and Political Disinformation
Open the record for dataset details and reuse information.
Youth Political Mobilization in Tharaka-North during the Colonial Period between 1895 and 1963
<p><i>Kenyan youth have been a key constituency for political mobilization since the country's independence. Politicians across the country have in most cases co-opted the youth in electoral competitions to either retain or wrestle power from opponents. Despite their numerical strength, importance and historical relevance little attempt has been made to analyze youth political mobilization during colonial period in Tharaka-North sub-County, between 1895 and 1963 hence forming the purpose of the study. The objective that guided the study was to analyze youth political mobilization during colonial period in Tharaka-North sub-County, between 1895 and 1963. This study took the form of an exploratory research design. The study employed both primary and secondary data to accomplish its goal. The respondents for the field interviews were selected using stratified random and purposive sampling approaches. Stratified random sampling was used to select 90 respondents who comprised of ordinary youth residing in Tharaka North-Sub-County. This was backed up by purposive sampling technique which was used to select 10 lead respondents mostly youth leaders and elders. Research instruments used included interview schedules with open ended questions. Qualitative methods of data analysis and interpretation were used. Anchored on the theory of patron-client relationship this study argued that the political class take advantage of the desperate situation of the youth to promise goodies if propelled to positions of power. The findings of this study shows the youth in Tharaka were socialized to believe that leadership positions were reserved for the old and senior males because The patriarchal structure of Tharaka society acted as a barrier to the ascendancy of young men to positions of leadership. As a consequence of this, youth political mobilization was low. It recommended that Civic education should be geared towards making political awareness to young people and that the government should put in place strategies that will improve youth participation in the political process.</i></p>
Replication package for `How Do Voters Respond to Welfare vis-a-vis Public Good Programs? Theory and Evidence of Political Clientelism'
<p>Contents of Replication Package:</p> <p>Readme file, Data Dictionary, Household Codes (do, csv and dta files), VillageYear Codes (do, csv and data files), folders containing maps, survey details and replication output</p>
Psychological empowerment of politically empowered Saudi women
<p>This is data for the study entitled "<span>Psychological empowerment of politically empowered Saudi women". The importance of the research stems from its examination of politically women’s empowerment, especially in a society such as that in Saudi Arabia; it is a country with very few rights granted for women according to The Global Gender Gap Index. Being recently aware of the need of women’s political empowerment, Saudi Arabia launched some of the decisions as the participation of women as voters and candidates for the first time in municipal councils in 2015. </span></p>
Replication Package for Political Language In Economics
<p>Replication Data for "Political Language in Economics" by Zubin Jelveh, Bruce Kogut, and Suresh Naidu</p>
The organisational politics of taxonomies
<p><span>Taxonomists, system developers and the general information management profession often need to consider the structural principles and design factors that impact organisational taxonomy projects. We suggest that often-overlooked organisational politics can have a significant impact on the structure, content and eventual usability of a taxonomy. Navigating and managing the maze of cultures, behaviours, and attitudes of individuals and groups within organisations can be daunting for anyone. Taxonomists are not necessarily skilled in psychology or focused on organisational behaviour, but they are regularly faced with political situations. They need be aware that these powerful political forces are just as important as any technical issues. This paper aims to assist the taxonomist with this process and add to the body of knowledge on the topic. Theories, case studies and key stakeholders influencing taxonomy projects are discussed, together with the common challenges that can be caused by political power games or resistance. Strategies and tactics to address them are included, where possible.</span></p>
Replication Package for "Trust and State Effectiveness: The Political Economy of Compliance"
<p>There is a README file that provides information on the data used in the paper titled “Trust and State Effectiveness: The Political Economy of Compliance” by Tim Besley and Sacha Dray, and steps to replicate its results.<br>DATA SOURCES:<br>Raw datasets needed for replication are in the folder "data/raw".<br>1/ IVS_clean.dta : dataset based on the Integrated Values Survey 1981-2021, which can be accessible from the World Values Survey or European Values Survey website.<br>-<br>EVS (2022): EVS Trend File 1981-2017. GESIS Data Archive, Cologne. ZA7503 Data file Version 3.0.0, doi:10.4232/1.14021.<br>-<br>2/ UK_C19_cohorts: dataset from the COVID-19 Survey in Five National Longitudinal Cohort Studies.<br>-<br>Centre for Longitudinal Studies. (2020). COVID-19 survey in five national longitudinal cohort studies: Millennium Cohort Study, Next Steps, 1970 British Cohort Study and 1958 National Child Development Study, 2020–2021 [data collection].</p>
Relationship between the Type of Media Consumption and Political Trust in the EU: Evidence from the 94th Eurobarometer 2020/2021 Survey
<p>This is a list of supplementary materials for the article titled "Relationship between the Type of Media Consumption and Political Trust in the EU: Evidence from the 94th Eurobarometer 2020/2021 Survey". It contains the following objects:</p> <p>1) R Script (as a markdown file).</p> <p>2) Raw dataset (copyright belongs to the European Union; the original source is the Eurobarometer website; https://europa.eu/eurobarometer/).</p>
Resources for the paper: "Social Context in Political Stance Detection: Impact and Extrapolation"
<p>This repository contains the resources in our paper <strong>[Social Context in Political Stance Detection: Impact and Extrapolation]</strong><br><em>Ramon Villa-Cox, Evan Williams, Kathleen M. Carley</em></p> <p>In this work, we explore the performance and extrapolation power of political stance-detection models using an existing large-scale weakly-labeled Twitter dataset collected around the 2019 South American Protests [1]. We construct transformer-based user and tweet encoders to embed users in a low-dimensional space using their text and ego-networks. We then train heterogeneous graph attention networks to predict user stances and contrast their ability to extrapolate stance predictions to different country contexts.</p> <p>The protest dataset, which was collected between September 25 and December 24 of 2019, contains 550k labeled users split unevenly across the four countries and contains over 36 million labeled tweets. It contains an additional 1.1 million unlabeled neighbors and 40 million unlabeled tweets. This repository includes the anonymized datasets necessary to reproduce the results and tables of the paper. In addition, we include the corresponding anonymized resources for the new weakly-labeled dataset around the 2020 Chilean Referendum presented in our paper.</p> <p>Following Twitter's January 2023 User Protection Policy update, tweet or user IDs related to sensitive political events cannot be publicly shared. We respect this policy, and only share:</p> <ul> <li>The anonymized user ID, their weak-stance label, the label predicted by each model and the data split (train, validation or test) the user was assigned to.</li> <li>Anonymized user network edges used by the different network classifiers</li> <li>The type of tweet the edge represents (Original, Reply, or Quote)</li> <li>The User Embeddings produced by the User Transformer and which serve as input for the different network models.</li> </ul> <p>This repository is comprised of the following files:</p> <ol> <li>Main_Predictions.7z: Compressed folder containing anonymized user IDs their stance label and each model’s prediction for the country it was trained on. The performance metrics for each model can be obtained based on the test split for each country. This folder includes the results for the Chilean Referendum.</li> <li>Cross_Predictions.7z: Compressed folder containing the results of the cross-country experiments for each anonymized user. The performance metrics for each model, when applied on a different country can be obtained based on each complete file. Users seen during the training of each model are excluded as described in the paper.</li> <li>Tweet_Level_Edgelists.7z: Compressed folder containing anonymized tweet edge lists indicating its interaction type (Original, Reply, or Quote).</li> <li>User_Networks.7z: Compressed folder containing different anonymized user edge lists for each interaction type.</li> <li>Embeddings.zip: Compressed Pytorch tensor files containing the User Embeddings produced by the User Transformer and which serve as input for the different network models. This are provided for the main results and the cross-country and referendum experiments.</li> </ol> <p>The code developed for this study is available at: https://github.com/rvillaco/Protest_Stance_Detection</p>
Artifact for an optimized polite combination method
<p>The artifact contains the binary, challenge benchmark and results of running with and without the optimization.</p> <p>It also includes instructions for reproduction.</p>
From Fear to Love: Dissecting Political Trust in China
<p>The data is about the paper "From Fear to Love: Dissecting Political Trust in China"</p>
AI and Political Marketing: How Indonesian React to The Presidential Candidate AI-Generated Advertisement
<p><span>The integration of Artificial Intelligence (AI) into political campaigns, particularly through social media, has revolutionized voter behavior influencing mechanisms. This research explores the impact of AI-generated content on public decision-making in the context of the 2024 Indonesian presidential elections, focusing on the Prabowo-Gibran pair. Drawing upon selective exposure theory, the study investigates how perceived source slant, perceived source bias, and perceived effects of opponents' news diet influence political participation likelihood. Through a quantitative survey of 150 Indonesian citizens active on social media, the study reveals significant positive correlations between perceived source slant, bias, and political participation likelihood. The findings underscore the pivotal role of AI-generated content in shaping political engagement and suggest implications for enhancing voter mobilization strategies in the digital age. </span></p>
Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification
<p>Code and dataset for paper "Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification". ICWSM 2025</p> <p>Preprint: https://arxiv.org/abs/2407.17688</p> <p>Citation: </p> <p>@misc{ng2024examininginfluencepoliticalbias,<br> title={Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification}, <br> author={Lynnette Hui Xian Ng and Iain Cruickshank and Roy Ka-Wei Lee},<br> year={2024},<br> eprint={2407.17688},<br> archivePrefix={arXiv},<br> primaryClass={cs.CL},<br> url={https://arxiv.org/abs/2407.17688}, <br>}</p>
ScienceDex guides
Understand access before you commit
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.