biblio.bib

@book{stephens-davidowitz_everybody_2017,
	location = {New York, {NY}},
	edition = {First edition},
	title = {Everybody lies: big data, new data, and what the Internet can tell us about who we really are},
	isbn = {9780062390851},
	shorttitle = {Everybody lies},
	abstract = {How much sex are people really having? How many Americans are actually racist? Is America experiencing a hidden back-alley abortion crisis? Can you game the stock market? Does violent entertainment increase the rate of violent crime? Do parents treat sons differently from daughters? How many people actually read the books they buy? In this work, Seth Stephens-Davidowitz, a Harvard-trained economist, former Google data scientist, and New York Times writer, argues that much of what we thought about people has been dead wrong. The reason? People lie, to friends, lovers, doctors, surveys -- and themselves. However, we no longer need to rely on what people tell us. New data from the internet -- the traces of information that billions of people leave on Google, social media, dating, and even pornography sites -- finally reveals the truth. By analyzing this digital goldmine, we can now learn what people really think, what they really want, and what they really do. Sometimes the new data will make you laugh out loud. Sometimes the new data will shock you. Sometimes the new data will deeply disturb you. But, always, this new data will make you think.--},
	pagetotal = {338},
	publisher = {Dey St., an imprint of William Morrow},
	author = {Stephens-Davidowitz, Seth and Pinker, Steven},
	date = {2017},
	note = {{OCLC}: ocn985108386},
	keywords = {{BUSINESS} \& {ECONOMICS}, Big data, {COMPUTERS}, Data mining, Databases, Databases Data Mining, Information Management, Internet, Massendaten, Popular Culture, {SOCIAL} {SCIENCE}, Social aspects},
}

@book{cairo_how_2019,
	location = {New York},
	edition = {First edition},
	title = {How charts lie: getting smarter about visual information},
	isbn = {9781324001560},
	shorttitle = {How charts lie},
	abstract = {"A leading data visualization expert explores the negative--and positive--influences that charts have on our perception of truth. We've all heard that a picture is worth a thousand words, but what if we don't understand what we're looking at? Social media has made charts, infographics, and diagrams ubiquitous--and easier to share than ever. While such visualizations can better inform us, they can also deceive by displaying incomplete or inaccurate data, suggesting misleading patterns-- or simply misinform us by being poorly designed, such as the confusing "eye of the storm" maps shown on {TV} every hurricane season. Many of us are ill equipped to interpret the visuals that politicians, journalists, advertisers, and even employers present each day, enabling bad actors to easily manipulate visuals to promote their own agendas. Public conversations are increasingly driven by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global {GDP} maps and box-office record charts, How Charts Lie teaches us how to do just that"--},
	publisher = {W. W. Norton \& Company},
	author = {Cairo, Alberto},
	date = {2019},
	keywords = {Charts, diagrams, etc, Computer graphics, Design, Information visualization, Social media},
}

@article{spence_displaying_1991,
	title = {Displaying proportions and percentages},
	volume = {5},
	issn = {08884080, 10990720},
	url = {https://onlinelibrary.wiley.com/doi/10.1002/acp.2350050106},
	doi = {10.1002/acp.2350050106},
	pages = {61--77},
	number = {1},
	journaltitle = {Applied Cognitive Psychology},
	shortjournal = {Appl. Cognit. Psychol.},
	author = {Spence, Ian and Lewandowsky, Stephan},
	urldate = {2022-05-17},
	date = {1991-01},
	langid = {english},
}

@article{macdonald-ross_how_1977,
	title = {How numbers are shown: A Review of Research on the Presentation of Quantitative Data in Texts},
	volume = {25},
	issn = {0001-2890},
	url = {https://link.springer.com/10.1007/BF02769746},
	doi = {10.1007/BF02769746},
	shorttitle = {How numbers are shown},
	pages = {359--409},
	number = {4},
	journaltitle = {{AV} communication review},
	shortjournal = {{AVCR}},
	author = {Macdonald-Ross, Michael},
	urldate = {2022-05-17},
	date = {1977-12},
	langid = {english},
}

@book{huff_how_1954,
	location = {New York},
	edition = {26th print},
	title = {How to lie with statistics},
	isbn = {9780393094268 9780393052640},
	pagetotal = {142},
	publisher = {Norton},
	author = {Huff, Darrell},
	date = {1954},
}

@book{bertin_graphique_1977,
	location = {Paris},
	title = {La graphique et le traitement graphique de l'information},
	isbn = {9782082111126},
	series = {Nouvelle bibliothèque scientifique},
	pagetotal = {277},
	publisher = {Flammarion},
	author = {Bertin, Jacques},
	date = {1977},
	keywords = {Data processing, Graphic methods},
}

@book{tufte_visual_2007,
	edition = {2},
	title = {The Visual Display of quantitative Information},
	publisher = {Graphics Press},
	author = {Tufte, Edward},
	date = {2007},
}