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A comprehensive survey on machine learning approaches for fake news detection

without pre-thinking, aggravating the problem even more. According to [268], false news, particularly political news, on Twitter is usually retweeted by more users and spreads extremely rapidly. In fact ... that intentionally false information transmitted to the public for various purposes, including political or financial manipulation [196]. Furthermore, substantial potential political and economic

Sentiment analysis of COVID-19 social media data through machine learning

and mortality worldwide. This has a negative impact on countries’ economies, as well as social and political concerns throughout the world. The growths of social media have witnessed much pandemic ... : the case of twitter use during typhoon Yolanda . Philipp Political Sci J 37 ( 1 ): 6 - 25 43. Sundararaj V ( 2019 ) Optimised denoising scheme via opposition-based self-adaptive learning PSO algorithm

SenDemonNet: sentiment analysis for demonetization tweets using heuristic deep neural network

gain feedback from political campaigns, brand reviews, marketing analysis, and customers. The sentiment analysis on Twitter data is a recent research field in the natural processing. The dataset is ... automatic uncovering of the considered attitudes [ 10 ]. Understanding the user’s perspective is significant for different applications like marketing analysis, product feedback, political campaigns

A design approach for building a digital platform to augment human abilities based on a more-than-human perspective

-human; Sociomateriality; Sharing economy; Smart city platforms; Affordance; Annotated portfolio; Experience prototyping 1 Introduction The term "seeing" is utilized in various fields such as philosophy

A new spatial spherical pattern model into interactive cartography pattern: multi-dimensional data via geostrategic cluster

the public can be addressed by the use of online mapping, which fuses with trends visualization for political circles and electors. But as mentioned above the framework is developed and it's also ... web for electoral constituencies and voters in Malaysia are currently not yet available by Election Commission (EC) or any other parties, be it political organizations or non-partisan bodies

An integrated framework of mobile crowd estimation for the 2019, July 1st rally in Hong Kong

across the US, Europe and Asia. As rally participation is often regarded as a manifestation of opposing social or political forces, the exercise of crowd estimation often faces cynical scepticism about ... under- or over-estimating the count based on the estimators’ perceived political agenda. Similar to the dispute over the actual head-count in the U.S. Million Man March of 1995, the organizers of June 9th

Performance prediction in online academic course: a deep learning approach with time series imaging

( 2017 ) Distance education and the scholarship of teaching and learning in political science . Politics 37 ( 2 ): 229 - 238 31. Toquero CM ( 2020 ) Challenges and Opportunities for Higher Education amid

Foundations and knowledge clusters in TikTok (Douyin) research: evidence from bibliometric and topic modelling analyses

exploring disparate questions that do  not lend themselves to broad collaboration. On an institutional level, the localized collaboration and the North-South divide may reveal underlying socio-political or ... Health 7 ( 6 ). https://doi.org/10.1136/bmjgh-2022 -009112 22. Brown Y , Pini B , Pavlidis A ( 2022 ) Affective design and memetic qualities: generating affect and political engagement through bushfire

Emotional sounds of crowds: spectrogram-based analysis using deep learning

, movies, theaters, concerts, political demonstrations, and riots. A critical question concerning the innovative concept of crowd emotions is whether the emotional content of crowd sounds can be ... for a goal or delusion for a missed one. In public events (e.g., concerts, receptions, parties, political meetings, protests, riots) and the public areas holding social activities (e.g., an open-air

Decision-support system for safety and security assessment and management in smart cities

, geographical, and political factors, as well as the diverse nature of terrorist groups [ 34 ]. The social and economic impact of security threats and terrorism necessitates the focused attention of law ... enforcement agencies, policymakers, and political institutions. Terrorism seeks to instil fear and cause significant harm within populations, making cities particularly vulnerable due to their high population

Explaining sentiment analysis results on social media texts through visualization

from discussing political opinions to passing legislation, supporting a cause [ 6, 52 ], reviewing movies, or chaffing about trivial matters to state matters [ 40, 46 ]. People now are, leveraging ... Reddit’s political headlines’ dataset to confirm and reinforce conclusions. The results obtained are tabulated below, see Table 2: According to the observations made from Table 2, both methods are post-hoc

Connecting national flags – a deep learning approach

, the Vexillology discipline is considered in a computer vision application to support the experimental findings, providing historical, political, and social insights that correlate nations. For the ... lead to a demystification of historical, social, political, religious events and behaviors that affected certain nations and subsequently influenced others. Moreover, there is no reported research in the

Disinformation detection on social media: An integrated approach

of how annotators have manually evaluated text to find out the intention behind sharing political information. To consider the intent of social media posts, this paper describes the complete guidelines ... approaches derived from areas like psychology, philosophy, economics and others [ 61 ]. Therefore, this paper has identified fundamental social science theories which can be potentially used to understand

Net activism and whistleblowing on YouTube: a text mining analysis

[ 52 ]. Much closer to our topic, some studies have addressed political engagement, although the previous studies are of interest for data processing. Some specific studies have claimed that Web 2.0 ... platforms reinforce democracy or can help us to understand Muslim radicalism through the democratization of engagement, for example. In [ 43 ], the political engagement of the One Health community was

The parliamentary political agenda: a tool for policy analysis of diabetes priorities in Spain

Objective: To analyze the political agenda on diabetes in Spain under democracy by considering the frequency and content of initiatives in the Spanish parliament. Methods: A systematic search of ... , legislature, type of initiative and whether a political decision was taken (yes/no). Results: There were 59 interventions: 22% were related to the first international initiatives and 44.1% took place in the

The parliamentary political agenda: a tool for policy analysis of diabetes priorities in Spain

Objective: To analyze the political agenda on diabetes in Spain under democracy by considering the frequency and content of initiatives in the Spanish parliament. Methods: A systematic search of ... , legislature, type of initiative and whether a political decision was taken (yes/no). Results: There were 59 interventions: 22% were related to the first international initiatives and 44.1% took place in the

A stacked convolutional neural network for detecting the resource tweets during a disaster

Social media platform like Twitter is one of the primary sources for sharing real-time information at the time of events such as disasters, political events, etc. Detecting the resource tweets during

Designing innovative digital platforms from both human and nonhuman perspectives

), which originated in the context of science and technology studies and, more broadly, in the context of sociology, is characterized as a constructivist philosophy. Fundamentally, it is not complex, but it ... of digital platforms should be framed as engaging in philosophy through artifacts. We did this by creating an annotated portfolio of research through design (RtD) artifacts [ 33 ]. This section

Towards spatio-temporal crime events prediction

/ 2084601394/ 8. Braga AA ( 2001 ) The effects of hot spots policing on crime . The Annals Amer Academy Political Social Sci 578 ( 1 ): 104 - 125 . https://doi.org/10.1177/000271620157800107 9. Brown D ( 1998

A novel watermarking scheme for medical image using support vector machine and lifting wavelet transform

Preference by Similarity to Ideal Solution (TOPSIS), and this philosophy in the selection of the best algorithm/method based on a set of performance measurement metrics is adopted from the study [ 22, 26–28