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42 results for “protests”
A Weakly-Labeled Stance Dataset during the 2019 South American Protests
<p>Research across different disciplines has documented the expanding polarization in social media. However, much of it focused on the US political system or its culturally controversial topics. In this work, we explore polarization on Twitter in a different context, namely the protest that paralyzed several countries in the South American region in 2019. By leveraging users’ endorsement of politicians' tweets and hashtag campaigns with defined stances towards the government of each country (for or against), we construct a weakly labeled stance dataset with hundreds of thousands of users. Moreover, through the synergistic usage of network-focused methods applied on news sharing patterns and language-focused methods, we validate our labeling methodology by showing that these stances partition the users into meaningful communities. That is, we show that polarization in users' news sharing patterns was consistent with their stances towards the government and that polarization in their language mainly manifested along ideological, political, or protest-related lines.</p>
Protests Ukraine Covid 2020-22: YouTube Videos
The collection "YTV Protests Ukraine Covid 2020-22" contains 146 videos (mp4) on protests relating to government measures due to Covid-19. We have downloaded all data in October 2024 and made screenshots (pdf) of websites so that the discussion and comments on the single video posts can be followed. All data is processed in an MS Excel database with metadata. We collect all videos that are 1) event related, 2) show actions of this event, 3) we can find with our search words during a particular period. We strictly aim at a systematic and objective selection and organized storage of protest-related videos. The collection is based on extensive research into Covid-related protest events in Ukraine, which made it possible to identify relevant search words. According to the snowball principle, we then start the collection of videos with the help of these search words and try to download as much relevant content as possible. However, we cannot guarantee the completeness of protest videos on the particular event. We search the videos and include them into the collection until a particular degree of saturation has been reached. Due to copyright restrictions, we are only allowed to give access to the database of the collected video files including the hyperlinks with its metadata and not to the videos themselves. The videos have been posted mainly by TV channels and news outlets. Therefore, the material is only an extract and biased by the perspective of the single creator/creating institution. The collection is part of a larger and ongoing collection of videos on protest events in the post-Soviet region.
Protests Kazakhstan 2022: YouTube Videos
The collection "Protests Kazakhstan 2022" contains 315 videos (mp4) on protests in mainly January 2022 triggered by a sharp increase in gas prices. We have downloaded all data in September 2024 and made screenshots (pdf) of websites so that the discussion and comments on the single video posts can be followed. All data is processed in an MS Excel database with metadata. We collect all videos that are 1) event related AND show actions of this event, 2) downloadable, 3) we can find with our search words during a particular period. We strictly aim at a systematic and objective selection and organized storage of protest-related videos. We identify particular event-related search words after intense research on the event. According to the snowball principle, we then start the collection of videos with the help of these search words and try to download as much relevant content as possible. However, we cannot guarantee the completeness of protest videos on the particular event. We search the videos and include them into the collection until a particular degree of saturation has been reached. Due to copyright restrictions, we are only allowed to give access to the database of the collected video files including the hyperlinks with its metadata and not to the videos themselves. The videos have been posted mainly by the participants of the events. Therefore, the material is only an extract and biased by the perspective of the single creator. The collection is part of a larger and ongoing collection of videos on protest events in the post-Soviet region.
Multi-label Tweet Dataset for Textual Propaganda Detection related to anti-CAA protest in India (2019-2021)
<p>This is a collection of English Tweets about the Citizenship (Amendment) Bill protests that occurred in India in 2019-2021. The dataset contains tweet instances multiple labels for identified propaganda techniques. The data set consists of tweet ids, hashtags used, and corresponding propaganda techniques. Labels have been automatically generated using Weak Supervision. </p> <p>As of 2023, there are very limited textual propaganda detection dataset for Tweets. This dataset is released to facilitate future research as propaganda has become omnipresent in modern social media. </p> <p> </p> <p> </p>
Male protest stridulatory sounds of Phyllophorina kotoshoensis Shiraki, 1930 (Orthoptera: Tettigonioidea: Phaneropteridae: Phyllophorinae)
<p>The male stridulatory protest sounds of Phyllophorina kotoshoensis Shiraki, 1930 from Taiwan were recorded using a digital bat detector Pettersson D1000X with a sampling rate of 192 kHz. Air temperature at recording: 20 <sup>o</sup>C. Distance between a microphone and the katydid: about 10 cm.</p> <p>Recordist: K.-G. Heller.</p> <p>Katydid used the coxosternal sound apparatus.</p>
Protest stridulatory sounds of female of Phyllophorina kotoshoensis Shiraki, 1930 (Orthoptera: Tettigonioidea: Phaneropteridae: Phyllophorinae)
<p>The female stridulatory protest sounds of <em>Phyllophorina kotoshoensis</em> Shiraki, 1930 from Taiwan were recorded using a digital bat detector Pettersson D1000X with a sampling rate of 192 kHz. Air temperature at recording 20 <sup>o</sup>C. Distance between microphone and katydid about 10 cm/</p> <p>Recordist: K.-G. Heller/</p> <p>Katydid used the coxosternal sound apparatus.</p>
The German Protest Registrations Dataset
<p>The <strong>German Protest Registrations Dataset</strong> covers protests that have been registered with demonstration authorities in 16 German cities. The data has been compiled from <i>Freedom of Information</i> requests and covers dates, organizers, topics, the number of registered participants, and for some cities the number of observed participants. Covered date ranges vary, with all cities covered in 2022, and 5 cities covered consistently from 2018 to 2022. In comparison to previous datasets that are largely based on newspaper reports, this dataset gives an unprecented level of detail, and is the largest dataset on protest events in Germany to date. <a href="https://github.com/davidpomerenke/german-protest-registrations/releases/download/v1.0.0/report.pdf">The report</a> gives an overview over existing datasets, explains the data retrieval and processing, displays the properties of the dataset, and discusses its limitations. Code and data are available <a href="https://github.com/davidpomerenke/german-protest-registrations">on Github</a>.</p><p>The dataset is provided in three subsets:</p><ol><li>The <strong>2018-2022 dataset</strong> contains only cities that have coverage throughout 2018-2022, and that also have the number of registered participants available. This results in a large dataset (about 40.000 entries) that strikes a balance between regional diversity (5 cities) and time coverage (5 years).</li><li>The <strong>2022 dataset</strong> contains all cities that have data available in 2022, and also have the number of registered participants available. With 13 cities covered but only 12.500 overall entries, it is useful especially for the study of geographic variations.</li><li>The <strong>unfiltered dataset</strong> contains all data without restrictions on included cities and time ranges, overall 57.000 entries. It also contains cities where the number of registered participants is not available. 16 cities are included, with varying time ranges between 2012 and 2022. This dataset should <i>not</i> be used for direct analysis; but it may be used for the creation of alternative consistent sub-datasets similar to the two ones above.</li></ol>
Data set. Testing Protest Paradigm in Femicide Protests in Mexican Press
<p>his Data set consist of the coding of 865 articles from national Mexican newspapers, from El Universal, Reforma, and Excélsior. It is corresponding to research that analyzes the representation of the protests against femicide in the Mexican press, and the opportunities reached by the social movement in the public discourse. Previous studies found a tendency for negative representations of social movements in the media in the so-called ‘protest paradigm’, this means that the attention obtained does not necessarily guarantee the reproduction of the movement’s discourse. We use the paradigm approach and test the degree of adherence. It registered media attention to the femicide issue for a period of 41 months in three national newspapers. The corpus was examined by using the qualitative content analysis technique, with variables that measure the stories’ emphasis, prominence, legitimation, and tone for social movements and authorities, to compare the two actors.</p>
Police Brutality during US Protests
<p>Repository containing evidence of police brutality from the 2020 George Floyd protests on</p>
Data from: Macaque mothers' responses to the deaths of their infants: evidence for protest grief?
<p>Data were collected on adult female rhesus macaques on Cayo Santiago. Included is the dataset and the R code used to analyse the data.</p> <p><span>Data variables:</span></p> <p>Date: Date of observation</p> <p>Troop: Troop to which the female belongs</p> <p>Status: Whether the focal individual is bereaved (Bereaved), a control female without an infant (Control), or a control female with an infant (ConMum)</p> <p>Rank: Estimated rank (three categories: Low, Middle, High)</p> <p>ID: Individual code for the female</p> <p>Age: Age in years</p> <p>Diplacement: Time (s) spent in displacement behaviours</p> <p>Feeding: Time (s) spent feeding</p> <p>Rest: Time (s) spent resting</p> <p>Grooming: Time (s) spent grooming</p> <p>Total: Duration (s) of the observation</p> <p>HOUR: hour of the day in which the observation took place</p> <p>Cluster: the group of females observed for the same infant death</p> <p>days_since_start: days since the death of the infant</p>
Video of female wing and mandibular protest sounds of the katydid, Nesoecia nigrispina (Orthoptera, Pseudophyllinae)
<p>The katydids,<em> Nesoecia nigrispina</em> (Stal, 1873) (Orthoptera, Pseudophyllinae, Cocconotini) emit sound signals in three ways: using the tegminal sound apparatus (males only), wings, and, presumably, mandibles (individuals of both sexes). The repertoire of sound signals includes calling song of two types and 3 types of protest signals. Males, which, like other katydids, have tegminal stridulatory organ, produce sounds of all types. However, the emission of protest signals of the 2nd and 3rd types is carried out with the help of the wings and mouth organs (apparently, mandibles). Females can also produce Type 2 and Type 3 protest sounds in the same way as males.</p> <p>In the video, can be seen and heard how the female produces wing protest sounds, as well as short clicks that accompany the movements of the mouthparts.</p>
Video of male wing and mandibular protest sounds of the katydid, Nesoecia nigrispina (Orthoptera, Pseudophyllinae)
<p>The katydids,<em> Nesoecia nigrispina</em> (Stal, 1873) (Orthoptera, Pseudophyllinae, Cocconotini) emit sound signals in three ways: using the tegminal sound apparatus (males only), wings, and, presumably, mandibles (individuals of both sexes). The repertoire of sound signals includes calling song of two types and 3 types of protest signals. Males, which, like other katydids, have tegminal stridulatory organ, produce sounds of all types. However, the emission of protest signals of the 2nd and 3rd types is carried out with the help of the wings and mouth organs (apparently, mandibles). Females can also produce Type 2 and Type 3 protest sounds in the same way as males.</p> <p>In the video, can be seen and heard how the male produces wing protest sounds, as well as short clicks can be heard that accompany the movements of the mouthparts.</p>
Italian articles reporting protest to Agrivoltaics in Italy from 2021 to 2023
<p>The following lists present the articles gathered for an article on Social representations of Agrivoltaics in Italy, to be published on Energy Research and Social Science thanks to the collaboration of Mauro Sarrica, Alessandra Scognamiglio and Roberto Fasanelli.</p>
Dataset of conversation graphs from 2019 Anti CAA protest in India
<p>To facilitate future research in online social movements, we are publishing this dataset of conversation graphs in the from the 2019 anti-CAA protest tweets. The conversation graph dataset has two types of conversations:</p><p>• <strong>Mention Graphs</strong>: In this, vertices are users and (directed) edges represent any interaction between the users. Within the context of our dataset, these interactions are limited to mentions alone when a user refers to another user directly by username.</p><p>• <strong>Reply Graphs:</strong> In this case, vertices are users, and a (directed) edge exists if one user replies to another.</p><p><strong>The reply graph is built as follows:</strong></p><ul><li>Since replies often form chains, find the root 'destination' user nodes that have been replied to at least once.</li><li> Find all the immediate next-level users who directly replied to the root nodes (these are 'source' nodes)</li><li>Iteratively map the immediate next level of users who reply to the previous level of corresponding users, stopping when all of the users in the next level have not been replied to (leaf users, so to say).</li></ul><p><strong>The mention graph is built as follows:</strong></p><ul><li>Since replies often form chains, find the root 'destination' user nodes that have been replied to at least once.</li><li>Find all the immediate next-level users who directly replied to the root nodes (these are 'source' nodes)</li><li>Iteratively map the immediate next level of users who reply to the previous level of corresponding users, stopping when all of the users in the next level have not been replied to (leaf users, so to say).</li></ul><p>Additionally, the dataset has the users and conversation graphs labeled for emotion and toxicity. Motif count has been provided for each of the graph. </p><p>To maintain confidentiality as per Twitter guidelines, user ids are anonymized and Tweet IDs and Tweet texts are not part of the dataset. </p>
Reddit blackout announcements: 2023 API protest
<p>Starting June 12, 2023, <a href="https://www.reddit.com/r/ModCoord/comments/1401qw5/incomplete_and_growing_list_of_participating">many Reddit communities</a> (subreddits) began a protest where they "went dark" - by changing to private mode - as a protest in response to Reddit's plans to <a href="https://www.reddit.com/r/reddit/comments/12qwagm/an_update_regarding_reddits_api/">change its API access policies and fee structure</a>. Supporters of the protest criticize the planned changes for being <a href="https://www.reddit.com/r/apolloapp/comments/13ws4w3/had_a_call_with_reddit_to_discuss_pricing_bad/">prohibitively expensive for 3rd party apps</a>. Beyond 3rd party apps, there is significant concern that the API changes are a move by the platform to increase monetization, degrade the user experience, and eventually kill off other custom features such as the old.reddit.com interface, the Reddit Enhancement Suite browser extension, and more. Additionally, there are concerns that the API changes will impede the ability of subreddit moderators (who are all unpaid users) to access tools to keep their communities on-topic and free of spam.</p> <p>This dataset includes the "stickied" posts that appeared on 5,351 subreddits on June 11, 2023 and June 12, 2023 - including many subreddits announcing their plans to participate in the protest. These posts were scraped using a custom Python script that was written specifically for this purpose. Ironically, the script uses the PRAW (Python Reddit API Wrapper) library, requiring a valid Reddit API key. Accordingly, after the platform's new API pricing policy went into effect, it is no longer feasible for researchers to perform this type of web scraping without external funding support.</p>
Twitter Data of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2021
<p>This data set contains all currently available tweets from the beginning of the Black Lives Matter (BLM) movement in 2013 to 2021. All tweets contain the following keywords BlackLivesMatter, AllLivesMatter, and BlueLivesMatter, or some variation (e.g., #blacklivesmatter or black lives matter). The data set consists of 63.9 million tweets from 13.0 million users from over 100 countries.</p> <p>Instructions on pulling the Twitter data from the Twitter API are <a href="https://github.com/sjgiorgi/blm_twitter_corpus">here</a>.</p> <p>Please use the following citation if you use this data in a paper:</p> <blockquote>Giorgi, S., Guntuku, S. C., Himelein-Wachowiak, M., Kwarteng, A., Hwang, S., Rahman, M., & Curtis, B. (2022). Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2021. In <em>Proceedings of the International AAAI Conference on Web and Social Media</em></blockquote>
Persistent paradigm: the framing of Extinction Rebellion protests in the UK press
<p>Data relating to journal article for Environmental Communication, entitled "Persistent paradigm: the framing of<br> Extinction Rebellion protests in the UK press". The journal article examines sourcing and frames in the coverage of Extinction Rebellion in four UK newspapers, the Guardian, Mirror, Telegraph and Mail. This dataset comprises:<br> - newspaper articles from the Daily Mail (pdf)<br> - newspaper articles from the Daily Telegraph (pdf)<br> - newspaper articles from the Guardian (pdf)<br> - newspaper articles from the Daily Mirror (pdf)<br> - coding sheet of sources identified in coverage (.xls)<br> - coding sheet of frames identified (.xls)</p> <p> </p>
Number of posts related to All-Women Strikes in Poland in certain period of protests in general. From: October 19, 2020. To: February 8, 2021)
<p>It was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</p>
The models of protest policing during the Warsaw Police's engagement in public gatherings
<p>Rak Joanna and Owczarek, Karolina, <strong><span>The models of protest policing during the Warsaw Police’s engagement in public gatherings</span></strong>.</p> <p>This dataset was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</p>
The stages of generating public engagement to control protest
<p>Rak Joanna, <span>The stages of generating public engagement to control protest</span>.</p> <p>This dataset was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</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.
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DANDI Archive for NWB datasets
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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.
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