Toxic data : comment les réseaux manipulent nos opinions

Toxic data : comment les réseaux manipulent nos opinions

Enregistré dans:

Détails bibliographiques
Auteur principal:	Chavalarias, David.
Support:	Livre
Langue:	Français
Publié:	Paris : Flammarion, 2023. Paris : 2023.
Collection:	Champs. Actuel
Résumé:	Réflexion sur la manipulation numérique via les réseaux sociaux, qui représente une menace pour la démocratie. Le mathématicien propose des pistes pour résister à l'intoxication de l'opinion au plan individuel et pour protéger collectivement la démocratie en l'adaptant à la nouvelle donne numérique. ↑Electre 2024

Documents similaires

Toxic data
par: Chavalarias, David, 1975-
Publié: (2022)

Toxic management
par: Brière, Thibaud.
Publié: (2021)

Advances in the Toxicity of Construction and Building Materials
par: Pacheco-Torgal, F..
Publié: (2022)

Emerging Nanomaterials for Recovery of Toxic and Radioactive Metal Ions from Environmental Media
par: Wang, Xiangke.
Publié: (2021)

Data analysis with R : a comprehensive guide to manipulating, analyzing, and visualizing data in R
par: Fischetti, Tony.
Publié: (2018)

Data Wrangling with SQL : A hands-on guide to manipulating, wrangling, and engineering data using SQL
par: Kandarpa, Raghav.

Hands-On Data Analysis with Scala : Perform data collection, processing, manipulation, and visualization with Scala
par: Gupta, Rajesh K..
Publié: (2019)

Hands-on data science with R : techniques to perform data manipulation and mining to build smart analytical models using R
par: Bianchi Lanzetta, Vitor.
Publié: (2018)

Cleaning data for effective data science : doing the other 80% of the work with Python, R, and command-line tools
par: Mertz, David (informaticien).
Publié: (2021)

Hands-On Data Structures and Algorithms with Python : Store, manipulate, and access data effectively and boost the performance of your applications
par: Agarwal, Basant (19..-....).
Publié: (2022)

Hands-on data analysis with NumPy and pandas : implement Python packages from data manipulation to processing
par: Miller, Curtis.
Publié: (2018)

Propaganda : comment manipuler l'opinion en démocratie
par: Bernays, Edward L., 1891-1995.
Publié: (2007)

Big data analytics with SAS
par: Pope, David.
Publié: (2017)

Data preparation for data mining
par: Pyle, Dorian.
Publié: (1999)

Data Observability for Data Engineering : Proactive strategies for ensuring data accuracy and addressing broken data pipelines
par: Pinto, Michele.

Data Storytelling and Translation : Bridging the Gap Between Numbers and Narratives
par: Mathias, David.

Data analysis with Python : a modern approach
par: Taïeb, David (19..-....).
Publié: (2018)

Modelling survival data in medical research
par: Collett, David.
Publié: (2003)

Data warehousing in the age of big data
par: Krishnan, Krish.
Publié: (2013)

Data science algorithms in a week : top 7 algorithms for scientific computing, data analysis, and machine learning
par: Natingga, David.
Publié: (2018)

Applied Geospatial Data Science with Python : Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
par: Jordan, David S..

R for data science cookbook
par: Chiu), Yu-Wei, Chiu (David.
Publié: (2016)

Data Warehouse and Data Mining : Concepts, techniques and real life applications
par: Kumar, Jugnesh.

Data lake development with big data : explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies
par: Pasupuleti, Pradeep.
Publié: (2015)

Big data analytics : from strategic planning to enterprise integration with tools, techniques, NoSQL, and graph
par: Loshin, David.
Publié: (2014)

Driving Data Quality with Data Contracts : A comprehensive guide to building reliable, trusted, and effective data platforms
par: Jones, Andrew.

Data analysis and business modeling with Excel 2013
par: Rojas, David.
Publié: (2015)

Data architecture : a primer for the data scientist
par: Inmon, WH..
Publié: (2019)

Scalable Data Analytics with Azure Data Explorer : Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
par: Myerscough, Jason.
Publié: (2022)

Data feminism
par: D'Ignazio, Catherine (1975-....).
Publié: (2020)

Data structure
par: Berztiss, A. T.
Publié: (1972)

Data lakes
par: Simon, Alan R..

Spring Data
par: Kainulainen, Petri.
Publié: (2012)

Data Processing Handbook for Complex Biological Data Sources
par: Misra, Gauri.
Publié: (2019)

Profession data : Dossier.
Publié: (2017)

Hands-on data warehousing with Azure Data Factory : ETL techniques to load and transform data from various sources, both on-premises and on cloud
par: Coté, Christian.
Publié: (2018)

Data Engineering with Alteryx : Helping data engineers apply DataOps practices with Alteryx
par: Houghton, Paul.
Publié: (2022)

Data Mesh : Principles, patterns, architecture, and strategies for data-driven decision making
par: Menon, Pradeep.

Data governance : how to design, deploy, and sustain an effective data governance program
par: Ladley, John.
Publié: (2019)

Big data, open data : quelles valeurs ? Quels enjeux ? : actes du colloque "Document numérique et société", Rabat, 2015
Publié: (2015)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1