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Dataset results
23 results for “memes”
Online Knowledge Production in Polarized Political Memes: The Case of Critical Race Theory (Dataset)
<p>This is the supplementary dataset to the article entitled "Online Knowledge Production in Polarized Political Memes: The Case of Critical Race Theory." This study, completed by Alyvia Walters, Tawfiq Ammari, Kiran Garimella, and Shagun Jhaver, was accepted for publication in <em>New Media & Society </em>in 2024.</p> <p>Description of files:</p> <p>Memes Codebook.dox - Codebook used for qualitative coding of memes.</p> <p>Memes Project.qdpx - NVivo coding project, exported.</p> <p>all_posts.jsonl, clusters.zip, images.zip, & image_data.csv - the complete collection of data and images used for this project. Please see publication in <em>New Media & Society </em>for more information on the use and collection of these items.</p>
Hasya Katta Official Planet Marathi Meme 1
<p><strong>Hasya</strong> <strong>Katta</strong> <strong>Official</strong> <strong>Planet</strong> <strong>Marathi</strong> <strong>OTT</strong> <strong>Meme</strong> <strong>1</strong></p> <p>A comparison meme between US & India of OTT by Smit Shetye @ Hasya Katta Official.</p> <p> </p> <p><strong>Hasya</strong> <strong>Katta</strong> <strong>Official</strong></p> <p><strong>Smit</strong> <strong>Shetye</strong></p> <p>https://hasyakattaofficial.github.io/</p> <p>https://smitshetye.github.io/</p>
Squid Game madhe vicharlela motha prashna button choosing meme
<p><strong>हास्य कट्टा ऑफिशियल मीम चे स्क्विड गेम मीम</strong></p> <p><strong>स्क्विड गेम मध्ये विचारला सर्वात मोठा प्रश्न..!! तुम्ही देऊ शकता का ह्या प्रश्नाचे उत्तर ??</strong></p> <p><strong>Smit Shetye @ Hasya Katta Official. </strong></p> <p><strong><a href="https://hasyakattaofficial.github.io">Hasya Katta Official</a></strong></p> <p><strong><a href="https://smitshetye.github.io">Smit Shetye</a></strong></p>
Toxic Memes Detection Dataset
<p>The dataset for training and evaluating toxic memes detection models. Images are collected from popular Russian Telegram channels and labelled with respect to <a href="https://transparency.fb.com/policies/community-standards">Facebook Community Standards</a>.</p>
Multimodal Toxic Memes Detection Dataset
<p>The dataset for training and evaluating multimodal toxic memes detection models. Contains images, extracted texts and toxicity labels. Images are collected from popular Russian Telegram channels and labelled with respect to <a href="https://transparency.fb.com/policies/community-standards">Facebook Community Standards</a>.</p>
Dataset for "On the Origins of Memes by Means of Fringe Web Communities"
<p>This dataset was collected with research funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No 691025.</p> <p>The publication on which this dataset was used is: "On the Origins of Memes by Means of Fringe Web Communities". Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, and Guillermo Suarez-Tangil. ACM Internet Measurement Conference (IMC), 2018., DOI: <a href="https://doi.org/10.5281/zenodo.1323551">https://doi.org/10.5281/zenodo.1323551</a></p> <p>The code related to this research can be found here: <a href="https://github.com/memespaper/memes_pipeline">https://github.com/memespaper/memes_pipeline</a>, or here: <a href="http://10.5281/zenodo.1463050">10.5281/zenodo.1463050</a></p> <p><br> The restriction of accessing this dataset has been revoked.</p> <p>The dataset is available here: DOI: <a href="https://doi.org/10.5281/zenodo.1184171">https://doi.org/10.5281/zenodo.1184171</a></p> <p>Presentation available here: <a href="https://doi.org/10.5281/zenodo.1477082">https://doi.org/10.5281/zenodo.1477082</a></p>
MEME MACHINE
I die. 🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸🐸 Source: Objaverse 1.0 / Sketchfab
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification
<p>The dramatic increase in the use of social media platforms for information sharing has also driven a significant rise in online abuse. A simple yet effective method of targeting individuals or communities involves creating memes, often combining an image with a brief piece of text overlaid on top. These harmful elements are widely used and pose a threat to online safety. Therefore, developing efficient models for detecting and flagging abusive memes is essential. This challenge becomes even more demanding in a low-resource setting, such as Bengali memes (i.e., images with Bengali text embedded in them), due to the absence of benchmark datasets on which AI models can be trained. This work addresses this gap by <strong>creating </strong>a <strong>Bengali meme dataset </strong>of 4K data points.</p><p>This upload includes the labeled Bengali meme dataset obtained from the web, described in the paper '<strong>BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification</strong>.'</p>
Comentarios sobre los memes publicados en las páginas de facebook: Feminista Consciente y She-Ra Feminista
<p>Conjunto de datos del artículo "Memes feministas e interacciones en Facebook"</p> <p>Revista Teknokultura</p> <p>Año de publicación 2023</p>
Ukrainian COVID-19 memes
Open the record for dataset details and reuse information.
The Impact of MeMed BV® on Management of Patients With Suspected Lower Respiratory Tract Infections (LRTI) in the Emergency Department (ED) and Urgent Care Center (UCC) ("JUPITER" TRIAL)
ClinicalTrials.gov study NCT05762302. IPD Sharing: NO. Countries: 2. Publications: 25.
Dataset for "On the Origins of Memes by Means of Fringe Web Communities"
<p>This dataset was collected with research funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No 691025.<br> The publication on which this dataset was used is: "<strong>On the Origins of Memes by Means of Fringe Web Communities</strong>". Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, and Guillermo Suarez-Tangil. ACM Internet Measurement Conference (IMC), 2018., DOI: <a href="https://doi.org/10.5281/zenodo.1323551">https://doi.org/10.5281/zenodo.1323551</a></p> <p> </p> <p>The dataset consists of all the URLs and phashes for images from Twitter, Reddit, 4chan's /pol/, and Gab posted between July 2016 and end of July 2017.</p> <p>The code related to this research can be found here: <a href="https://github.com/memespaper/memes_pipeline">https://github.com/memespaper/memes_pipeline</a>, or here: <a href="https://doi.org/10.5281/zenodo.1463050">https://doi.org/ 10.5281/zenodo.1463050</a></p> <p>Presentation available here: <a href="https://doi.org/10.5281/zenodo.1477082">https://doi.org/10.5281/zenodo.1477082</a></p>
A Convergent-mixed Method Study on the Attitudes and Perception Towards Suicide Memes and Suicidality
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Hasya Katta Official 12 Eke 44 Meme
<p><strong>An Hasya Katta Official Meme on 12 Eke 44.</strong></p> <p><strong>हास्य कट्टा ऑफिशियल मीम चे १२ एके ४४ मीम . </strong></p> <p><strong>Smit Shetye @ Hasya Katta Official. </strong></p> <p><strong><a href="https://hasyakattaofficial.github.io">Hasya Katta Official</a></strong></p> <p><strong><a href="https://smitshetye.github.io">Smit Shetye</a></strong></p>
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
<h2>[Update] Looking for a larger unsafe image dataset? We publish a new dataset named UnsafeBench on Hugging Face. Take a look at <a href="https://huggingface.co/datasets/yiting/UnsafeBench">here</a>!</h2> <p>This dataset used in the paper <a href="https://arxiv.org/pdf/2305.13873.pdf">https://arxiv.org/pdf/2305.13873.pdf</a> contains four prompt sets and one image set.</p> <p>The four prompt sets were used to query Text-to-Image models and generate images for safety assessment. These sets include three harmful prompt sets and one harmless prompt set. The harmful prompts originate from different sources and contain various unsafe concepts, such as sexually explicit, violent, disturbing, hateful, and political content.</p> <p><strong>Prompt Sets</strong>:</p> <ul> <li>4chan Prompts: Harmful</li> <li>Lexica Prompts: Harmful</li> <li>Template Prompts: Harmful</li> <li>COCO Prompts: Harmless</li> </ul> <p><strong>Image Dataset</strong>:</p> <p>This dataset consists of 800 images, which were randomly selected from all the generated images from Text-to-Image models.</p> <ul> <li>Safe: 580 images</li> <li>Sexually Explicit: 48 images</li> <li>Violent: 45 images</li> <li>Disturbing: 68 images</li> <li>Hateful: 35 images</li> <li>Political: 50 images</li> </ul>
Data from: Directional cultural change by modification and replacement of memes
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MeMed BV® Test Evaluation in Adult Emergency Department Patients
ClinicalTrials.gov study NCT05706935. IPD Sharing: NO. Countries: 1. Publications: 0.
Distinguishing Bacterial and Viral Infections by MeMed BV® Test to Limit Gut Colonization by MDRO
ClinicalTrials.gov study NCT05897801. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluating the Analytical Equivalency of Serum and Whole Blood Samples Run on the MeMed Key® Platform (Perseverance Study)
ClinicalTrials.gov study NCT05439551. IPD Sharing: YES. Countries: 2. Publications: 0.
Establish MeMed BV™ Performance for Differentiating Bacterial From Viral Infection in Suspected Acute Infection Patients (APOLLO STUDY)
ClinicalTrials.gov study NCT04690569. IPD Sharing: Not stated. Countries: 2. Publications: 0.
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.