Modeling and Solving the Fake News Detection Scheduling Problem

2021 ◽  
pp. 231-242
Author(s):  
Said Aqil ◽  
Mohamed Lahby
Keyword(s):  
Scheduling Problem ◽  
Fake News

Improving the solution complexity of the scheduling problem with deadlines: A general technique

2016 ◽  
Vol 50 (4-5) ◽  
pp. 681-687
Author(s):  
Amir Elalouf ◽  
Eugene Levner
Keyword(s):  
Scheduling Problem ◽  
General Technique

Maier-Kolumne – Fake News

physiopraxis ◽  
2018 ◽  
Vol 16 (07/08) ◽  
pp. 58-58
Author(s):  
Ulrike Maier
Keyword(s):  
Fake News

Eine Hausärztin, die, statt ein Physio-Rezept auszustellen, auf Übungen aus der Apotheken Umschau verweist? Unmöglich, sollte man meinen. Doch Physiotherapeutin Ulrike Maier belehrt eines Besseren. Ihre unwissende Hausärztin von nebenan liefert ihren Patienten gerne mal „alternative Fakten“ und hat bei ihren physiotherapeutischen Kenntnissen noch dringend Nachholbedarf.

Optimal broadcast scheduling method for VANETs: An adaptive discrete firefly approach

2020 ◽  
Vol 39 (6) ◽  
pp. 8125-8137
Author(s):  
Jackson J Christy ◽  
D Rekha ◽  
V Vijayakumar ◽  
Glaucio H.S. Carvalho
Keyword(s):  
Intelligent Transportation System ◽  
Search Algorithm ◽  
Mac Protocol ◽  
High Mobility ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Traffic Density ◽  
Scheduling Problem ◽  
Broadcast Scheduling

Vehicular Adhoc Networks (VANET) are thought-about as a mainstay in Intelligent Transportation System (ITS). For an efficient vehicular Adhoc network, broadcasting i.e. sharing a safety related message across all vehicles and infrastructure throughout the network is pivotal. Hence an efficient TDMA based MAC protocol for VANETs would serve the purpose of broadcast scheduling. At the same time, high mobility, influential traffic density, and an altering network topology makes it strenuous to form an efficient broadcast schedule. In this paper an evolutionary approach has been chosen to solve the broadcast scheduling problem in VANETs. The paper focusses on identifying an optimal solution with minimal TDMA frames and increased transmissions. These two parameters are the converging factor for the evolutionary algorithms employed. The proposed approach uses an Adaptive Discrete Firefly Algorithm (ADFA) for solving the Broadcast Scheduling Problem (BSP). The results are compared with traditional evolutionary approaches such as Genetic Algorithm and Cuckoo search algorithm. A mathematical analysis to find the probability of achieving a time slot is done using Markov Chain analysis.

Datos masivos, algoritmización y nuevos medios frente a desinformación y fake news. Bots para minimizar el impacto en las organizaciones

2020 ◽  
pp. 101-114
Author(s):  
Jesús Miguel Flores Vivar
Keyword(s):  
Fake News

Éste trabajo parte de una información compartida por muchos investigadores. La comprensión de la desinformación como un fenómeno que va mucho más allá del término “noticias falsas”. Estos términos han sido apropiados y usados engañosamente por poderosos actores para desestimar y poner en entredicho la cobertura informativa que ya atraviesa momentos críticos sobre la credibilidad.

Placebo effect between evidence and myths: How to distinguish true from fake news

2019 ◽  
pp. 131-146
Author(s):  
Luigi Alberto Pini ◽  
Antonietta Vilella
Keyword(s):  
Placebo Effect ◽  
Fake News
Sign in / Sign up

Export Citation Format

Share Document