Second Workshop on Online Misinformation- And Harm-Aware Recommender Systems: Preface

This volume contains the proceedings with the research contributions presented at the Second Workshop on Online Misinformation-and Harm-Aware Recommender Systems (OHARS'2021) co-located with the 15th ACM Recommender Systems Conference (RecSys'2021). These proceedings describe the specific workshop goals and format, and contain the papers presented during the online event held on October 2nd, 2021

SpanishTweetsCOVID-19: A Social Media Enriched Covid-19 Twitter Spanish Dataset

This dataset presents a large-scale collection of millions of Twitter posts related to the coronavirus pandemic in Spanish language. The collection was built by monitoring public posts written in Spanish containing a diverse set of hashtags related to the COVID-19, as well as tweets shared by the official Argentinian government offices, such as ministries and secretaries at different levels. Data was collected between March and June 2020 using the Twitter API, and will be periodically updated. In addition to tweets IDs, the dataset includes information about mentions, retweets, media, URLs, hashtags, replies, users and content-based user relations, allowing the observation of the dynamics of the shared information. Data is presented in different tables that can be analysed separately or combined. The dataset aims at serving as source for studying several coronavirus effects in people through social media, including the impact of public policies, the perception of risk and related disease consequences, the adoption of guidelines, the emergence, dynamics and propagation of disinformation and rumours, the formation of communities and other social phenomena, the evolution of health related indicators (such as fear, stress, sleep disorders, or children behaviour changes), among other possibilities. In this sense, the dataset can be useful for multi-disciplinary researchers related to the different fields of data science, social network analysis, social computing, medical informatics, social sciences, among others

SpanishTweetsCOVID-19: A Social Media Enriched Covid-19 Twitter Spanish Dataset

This dataset presents a large-scale collection of millions of Twitter posts related to the coronavirus pandemic in Spanish language. The collection was built by monitoring public posts written in Spanish containing a diverse set of hashtags related to the COVID-19, as well as tweets shared by the official Argentinian government offices, such as ministries and secretaries at different levels. Data was collected between March and October 2020 using the Twitter API, and will be periodically updated. In addition to tweets IDs, the dataset includes information about mentions, retweets, media, URLs, hashtags, replies, users and content-based user relations, allowing the observation of the dynamics of the shared information. Data is presented in different tables that can be analysed separately or combined. The dataset aims at serving as source for studying several coronavirus effects in people through social media, including the impact of public policies, the perception of risk and related disease consequences, the adoption of guidelines, the emergence, dynamics and propagation of disinformation and rumours, the formation of communities and other social phenomena, the evolution of health related indicators (such as fear, stress, sleep disorders, or children behaviour changes), among other possibilities. In this sense, the dataset can be useful for multi-disciplinary researchers related to the different fields of data science, social network analysis, social computing, medical informatics, social sciences, among others

GobBsAsTweets: Twitter Dataset of Local Governments in Buenos Aires (Argentina)

This dataset presents a collection of the official local governments' Twitter activity in Buenos Aires Province in Argentina. The collection is entirely in Spanish and was built by crawling each local government's social media accounts and the reactions it received. The collection focuses on the content-based relations established between the local government authorities and the citizens, instead of on the follower/followee relationship.The dataset is useful for studying how government entities manifest themselves in social media and their different ways of transmitting information; and how citizens interact and express their commitment to the government entities.The collection includes the account activities during the COVID-19 pandemic.Data was collected using the Twitter API and will be periodically updated

GobBsAsTweets: Twitter Dataset of Local Governments in Buenos Aires (Argentina)

This dataset presents a collection of the official local governments' Twitter activity in Buenos Aires Province in Argentina. The collection is entirely in Spanish and was built by crawling each local government's social media accounts and the reactions it received. The collection focuses on the content-based relations established between the local government authorities and the citizens, instead of on the follower/followee relationship.The dataset is useful for studying how government entities manifest themselves in social media and their different ways of transmitting information; and how citizens interact and express their commitment to the government entities.The collection includes the account activities before, during and after the COVID-19 pandemic. Tweets span between 2009 and December 2022.Data was collected using the Twitter API.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

GobBsAsTweets: Twitter Dataset of Local Governments in Buenos Aires (Argentina)

This dataset presents a collection of the official local governments' Twitter activity in Buenos Aires Province in Argentina. The collection is entirely in Spanish and was built by crawling each local government's social media accounts and the reactions it received. The collection focuses on the content-based relations established between the local government authorities and the citizens, instead of on the follower/followee relationship.The dataset is useful for studying how government entities manifest themselves in social media and their different ways of transmitting information; and how citizens interact and express their commitment to the government entities.The collection includes the account activities during the COVID-19 pandemic.Data was collected using the Twitter API and will be periodically updated.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

SpanishTweetsCOVID-19: A Social Media Enriched Covid-19 Twitter Spanish Dataset

This dataset presents a large-scale collection of millions of Twitter posts related to the coronavirus pandemic in Spanish language. The collection was built by monitoring public posts written in Spanish containing a diverse set of hashtags related to the COVID-19, as well as tweets shared by the official Argentinian government offices, such as ministries and secretaries at different levels. Data was collected between March and June 2020 using the Twitter API, and will be periodically updated. In addition to tweets IDs, the dataset includes information about mentions, retweets, media, URLs, hashtags, replies, users and content-based user relations, allowing the observation of the dynamics of the shared information. Data is presented in different tables that can be analysed separately or combined. The dataset aims at serving as source for studying several coronavirus effects in people through social media, including the impact of public policies, the perception of risk and related disease consequences, the adoption of guidelines, the emergence, dynamics and propagation of disinformation and rumours, the formation of communities and other social phenomena, the evolution of health related indicators (such as fear, stress, sleep disorders, or children behaviour changes), among other possibilities. In this sense, the dataset can be useful for multi-disciplinary researchers related to the different fields of data science, social network analysis, social computing, medical informatics, social sciences, among others

SpanishTweetsCOVID-19: A Social Media Enriched Covid-19 Twitter Spanish Dataset

This dataset presents a large-scale collection of millions of Twitter posts related to the coronavirus pandemic in Spanish language. The collection was built by monitoring public posts written in Spanish containing a diverse set of hashtags related to the COVID-19, as well as tweets shared by the official Argentinian government offices, such as ministries and secretaries at different levels. Data was collected between March and August 2020 using the Twitter API, and will be periodically updated. In addition to tweets IDs, the dataset includes information about mentions, retweets, media, URLs, hashtags, replies, users and content-based user relations, allowing the observation of the dynamics of the shared information. Data is presented in different tables that can be analysed separately or combined. The dataset aims at serving as source for studying several coronavirus effects in people through social media, including the impact of public policies, the perception of risk and related disease consequences, the adoption of guidelines, the emergence, dynamics and propagation of disinformation and rumours, the formation of communities and other social phenomena, the evolution of health related indicators (such as fear, stress, sleep disorders, or children behaviour changes), among other possibilities. In this sense, the dataset can be useful for multi-disciplinary researchers related to the different fields of data science, social network analysis, social computing, medical informatics, social sciences, among others