Trending: The Promises and the Challenges of Big Social Data

By Lev Manovich. 2012

639 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/15fffafb4bfcf8f9b210de01ac5208b0d916147e

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In General Social Sciences

Citations in the corpus

CRITICAL QUESTIONS FOR BIG DATA (2012, methodology): “Manovich (2011) writes of three classes of people in the realm of Big Data: ‘those who create data (both consciously and by leaving digital footprints), those who have the means to collect it, and those who have expertise to analyze it’.”
Data ex Machina: Introduction to Big Data (2017, background): “In early formulations, its “bigness” meant that the data that could not be processed with extant software (Gartner 2011, Manovich 2012).”
Six Provocations for Big Data (2011, background): “As Lucy Suchman (2011) observes, via Levi Strauss, ‘we are our tools.’”
Content Analysis in an Era of Big Data: A Hybrid Approach to Computational and Manual Methods (2013, background): “…of digital information to content analyze, it also has yielded a series of digital enhancements to social science research: an emerging assemblage of tools and techniques for managing and making sense of all this data, often with no more than simple software on a standard computer (Manovich, 2012).”
Towards a sociology of computational and algorithmic journalism (2013, background): “Understanding the interaction between large-scale data collection, algorithmic analysis, computational practices, and the production of public knowledge is one of the central methodological and philosophical challenges of our time (Manovich, 2011).”
Social big data: Recent achievements and new challenges (2015, neutral): “Hence, social big data analysis [15,16] is inherently interdisciplinary and spans areas such as data mining, machine learning, statistics, graph mining, informa-”
Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology (2014, background): “Facebook and Twitter are apparatuses that are constantly tweaked to translate friendship or popularity into algorithms while promoting these very computations as social values (Manovich 2011; Bucher 2012).”
The Pushshift Reddit Dataset (2020, background): “This “post-API age” is characterized by the deprecation of data resources used for research and teaching [50, 107], increased stratification of data access based on social, technical, and financial capital [16, 93], and greater fear of prosecution around violating terms of service in the course of r”
The convergence of GIS and social media: challenges for GIScience (2011, background): “In particular, GIS applications in the social and behavioral sciences have been confined in the past to what Manovich (2011) has called ‘surface data’ about the many (sociology, economics, political science, geography) and ‘deep data’ about the few (psychology, psychoanalysis, anthropology,…”
Big Data for Development: A Review of Promises and Challenges (2016, neutral): “Others carefully curate their profile pictures to construct an image they want to project” (Manovich, 2012).”
Sociality Through Social Network Sites (2013, background): “As Lev Manovich (2011) has argued, limited access to data may reproduce significant inequalities among researchers and limits what kinds of questions are asked.”
The role of administrative data in the big data revolution in social science research. (2016, background): “The excitement around big data emerges from the recognition of the opportunities it may offer to advance our understanding of human behaviour and social phenomenon in a way that has never been possible before (see for example Burrows and Savage, 2014; Kitchin, 2014a,b; Manovich, 2011; Schroeder, 201”