Text preprocessing for text mining in organizational research: Review and recommendations
Recent advances in text mining have provided new methods for capitalizing on the
voluminous natural language text data created by organizations, their employees, and their …
voluminous natural language text data created by organizations, their employees, and their …
Fake news stance detection using deep learning architecture (CNN-LSTM)
Society and individuals are negatively influenced both politically and socially by the
widespread increase of fake news either way generated by humans or machines. In the era …
widespread increase of fake news either way generated by humans or machines. In the era …
Dark participation
T Quandt - Media and communication, 2018 - ssoar.info
Citizen participation in the news-making process has been a hopeful promise since the
1990s. Observers hoped for a rejuvenation of journalism and democracy alike. However …
1990s. Observers hoped for a rejuvenation of journalism and democracy alike. However …
Predicting factuality of reporting and bias of news media sources
We present a study on predicting the factuality of reporting and bias of news media. While
previous work has focused on studying the veracity of claims or documents, here we are …
previous work has focused on studying the veracity of claims or documents, here we are …
Detecting harmful content on online platforms: what platforms need vs. where research efforts go
The proliferation of harmful content on online platforms is a major societal problem, which
comes in many different forms, including hate speech, offensive language, bullying and …
comes in many different forms, including hate speech, offensive language, bullying and …
Disinformation warfare: Understanding state-sponsored trolls on Twitter and their influence on the web
Over the past couple of years, anecdotal evidence has emerged linking coordinated
campaigns by state-sponsored actors with efforts to manipulate public opinion on the Web …
campaigns by state-sponsored actors with efforts to manipulate public opinion on the Web …
SemEval-2017 task 3: Community question answering
We describe SemEval-2017 Task 3 on Community Question Answering. This year, we reran
the four subtasks from SemEval-2016:(A) Question-Comment Similarity,(B) Question …
the four subtasks from SemEval-2016:(A) Question-Comment Similarity,(B) Question …
Who let the trolls out? towards understanding state-sponsored trolls
Recent evidence has emerged linking coordinated campaigns by state-sponsored actors to
manipulate public opinion on the Web. Campaigns revolving around major political events …
manipulate public opinion on the Web. Campaigns revolving around major political events …
Automatic stance detection using end-to-end memory networks
We present a novel end-to-end memory network for stance detection, which jointly (i)
predicts whether a document agrees, disagrees, discusses or is unrelated with respect to a …
predicts whether a document agrees, disagrees, discusses or is unrelated with respect to a …
Integrating stance detection and fact checking in a unified corpus
A reasonable approach for fact checking a claim involves retrieving potentially relevant
documents from different sources (eg, news websites, social media, etc.), determining the …
documents from different sources (eg, news websites, social media, etc.), determining the …