Linguistic feature based learning model for fake news detection and classification
A Choudhary, A Arora - Expert Systems with Applications, 2021 - Elsevier
Social media is used as a dominant source of news distribution among users. The world's
preeminent decisions such as politics are acclaimed by social media to influence users for …
preeminent decisions such as politics are acclaimed by social media to influence users for …
Supervised and unsupervised neural approaches to text readability
We present a set of novel neural supervised and unsupervised approaches for determining
the readability of documents. In the unsupervised setting, we leverage neural language …
the readability of documents. In the unsupervised setting, we leverage neural language …
Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover
L Fröhling, A Zubiaga - PeerJ Computer Science, 2021 - peerj.com
The recent improvements of language models have drawn much attention to potential cases
of use and abuse of automatically generated text. Great effort is put into the development of …
of use and abuse of automatically generated text. Great effort is put into the development of …
Natural language generation using deep learning to support MOOC learners
Among all the learning resources within MOOCs such as video lectures and homework, the
discussion forum stood out as a valuable platform for students' learning through knowledge …
discussion forum stood out as a valuable platform for students' learning through knowledge …
A large-scaled corpus for assessing text readability
This paper introduces the CommonLit Ease of Readability (CLEAR) corpus, which provides
unique readability scores for~ 5000 text excerpts along with information about the excerpt's …
unique readability scores for~ 5000 text excerpts along with information about the excerpt's …
Pushing on text readability assessment: A transformer meets handcrafted linguistic features
We report two essential improvements in readability assessment: 1. three novel features in
advanced semantics and 2. the timely evidence that traditional ML models (eg Random …
advanced semantics and 2. the timely evidence that traditional ML models (eg Random …
Fake cures: user-centric modeling of health misinformation in social media
Social media's unfettered access has made it an important venue for health discussion and
a resource for patients and their loved ones. However, the quality of information available …
a resource for patients and their loved ones. However, the quality of information available …
Recommenders with a mission: assessing diversity in news recommendations
News recommenders help users to find relevant online content and have the potential to
fulfill a crucial role in a democratic society, directing the scarce attention of citizens towards …
fulfill a crucial role in a democratic society, directing the scarce attention of citizens towards …
Text readability assessment for second language learners
This paper addresses the task of readability assessment for the texts aimed at second
language (L2) learners. One of the major challenges in this task is the lack of significantly …
language (L2) learners. One of the major challenges in this task is the lack of significantly …
[PDF][PDF] On improving the accuracy of readability classification using insights from second language acquisition
We investigate the problem of readability assessment using a range of lexical and syntactic
features and study their impact on predicting the grade level of texts. As empirical basis, we …
features and study their impact on predicting the grade level of texts. As empirical basis, we …