Do you want to publish a course? Click here

PoliWAM: An Exploration of a Large Scale Corpus of Political Discussions on WhatsApp Messenger

Poliwam: استكشاف لجنة كبيرة من المناقشات السياسية على Whatsapp Messenger

158   0   0   0.0 ( 0 )
 Publication date 2021
and research's language is English
 Created by Shamra Editor




Ask ChatGPT about the research

WhatsApp Messenger is one of the most popular channels for spreading information with a current reach of more than 180 countries and 2 billion people. Its widespread usage has made it one of the most popular media for information propagation among the masses during any socially engaging event. In the recent past, several countries have witnessed its effectiveness and influence in political and social campaigns. We observe a high surge in information and propaganda flow during election campaigning. In this paper, we explore a high-quality large-scale user-generated dataset curated from WhatsApp comprising of 281 groups, 31,078 unique users, and 223,404 messages shared before, during, and after the Indian General Elections 2019, encompassing all major Indian political parties and leaders. In addition to the raw noisy user-generated data, we present a fine-grained annotated dataset of 3,848 messages that will be useful to understand the various dimensions of WhatsApp political campaigning. We present several complementary insights into the investigative and sensational news stories from the same period. Exploratory data analysis and experiments showcase several exciting results and future research opportunities. To facilitate reproducible research, we make the anonymized datasets available in the public domain.

References used
https://aclanthology.org/
rate research

Read More

The analytical relationship that gives the neutron beam flux does not take into account the probability of decay. In this research, we concluded the analytical relationship of the probability non decay of free neutron during the passage of the sam ple to be analyzed by NAA. And the conclusion of the analytical relationship to the probability of non-capture of the free neutron during the its passage of the sample to be analyzed by NAA in a simpler method than the previous conclusion. We conducted an application study to investigate the effect of the probability non decay of free neutrons, that flowing through sample, On the flux of transient neutron beam, for neutron beam with various large thickness samples and for different energies of neutrons. The effect of probability of neutron decay on neutron beam flux could not be negligible for all the energies which are bigger than of thermal.
This work introduces Itihasa, a large-scale translation dataset containing 93,000 pairs of Sanskrit shlokas and their English translations. The shlokas are extracted from two Indian epics viz., The Ramayana and The Mahabharata. We first describe the motivation behind the curation of such a dataset and follow up with empirical analysis to bring out its nuances. We then benchmark the performance of standard translation models on this corpus and show that even state-of-the-art transformer architectures perform poorly, emphasizing the complexity of the dataset.
Intervention for implementing democracy is considered of the International field, more specifically how legitimate it is in terms of international relations and how can adaptation between democracy as a human right be achieve in relations to the main principle on which the international system in its contemporary format, more specifically the principle of illegitimacy. intervention as part of the international, democracy.
This study aimed to test the relationship between the components of economic freedom and political freedoms in (6) Arab countries of the (MENA) Group during the period 2006-2015, based firstly on studying and reviewing the intellectual trends and t he empirical studies on this relationship. and secondly on a Econometric study based on (Panel Data), and an estimation of the parameters of the model after the tests of data stability using the (FEM) model which was chosen according to the (F-Statistique) value of the (Wald) test.
In this paper we study pejorative language, an under-explored topic in computational linguistics. Unlike existing models of offensive language and hate speech, pejorative language manifests itself primarily at the lexical level, and describes a word that is used with a negative connotation, making it different from offensive language or other more studied categories. Pejorativity is also context-dependent: the same word can be used with or without pejorative connotations, thus pejorativity detection is essentially a problem similar to word sense disambiguation. We leverage online dictionaries to build a multilingual lexicon of pejorative terms for English, Spanish, Italian, and Romanian. We additionally release a dataset of tweets annotated for pejorative use. Based on these resources, we present an analysis of the usage and occurrence of pejorative words in social media, and present an attempt to automatically disambiguate pejorative usage in our dataset.

suggested questions

comments
Fetching comments Fetching comments
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا