Stance detection is an evolving opinion mining research area motivated by the vast increase
in the variety and volume of user-generated content. In this regard, considerable research …

Social media platforms provide a goldmine for mining public opinion on issues of wide
societal interest and impact. Opinion mining is a problem that can be operationalised by …

Performance of text classification models tends to drop over time due to changes in data,
which limits the lifetime of a pretrained model. Therefore an ability to predict a model's ability …

Research on automated social media rumour verification, the task of identifying the veracity
of questionable information circulating on social media, has yielded neural models …

We describe the first edition of the LongEval CLEF 2023 shared task. This lab evaluates the
temporal persistence of Information Retrieval (IR) systems and Text Classifiers. Task 1 …

Recently, there has been a growing interest in analyzing user-generated text to understand
opinions expressed on social media. In NLP, this task is known as stance detection, where …

Stance detection, as the task of determining the viewpoint of a social media post towards a
target as' favor'or'against', has been understudied in the challenging yet realistic scenario …

Adapting pre-trained language models (PLMs) for time-series text classification amidst
evolving domain shifts (EDS) is critical for maintaining accuracy in applications like stance …

Previous studies have highlighted the importance of vaccination as an effective strategy to
control the transmission of the COVID-19 virus. It is crucial for policymakers to have a …

This paper introduces the planned second LongEval Lab, part of the CLEF 2024 conference.
The aim of the lab's two tasks is to give researchers test data for addressing temporal …