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Refinado por: Base de dados/Biblioteca: EZB Free E-Journals remover assunto: Government & Law remover
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1
Big Data, Digital Media, and Computational Social Science: Possibilities and Perils
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Big Data, Digital Media, and Computational Social Science: Possibilities and Perils

SHAH, DHAVAN V. ; CAPPELLA, JOSEPH N. ; NEUMAN, W. RUSSELL Cappella, Joseph N ; Neuman, W. Russell ; Shah, Dhavan V

The Annals of the American Academy of Political and Social Science, 2015-05, Vol.659 (1), p.6-13 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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2
Building Better Models: Prediction, Replication, and Machine Learning in the Social Sciences
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Building Better Models: Prediction, Replication, and Machine Learning in the Social Sciences

HINDMAN, MATTHEW Cappella, Joseph N ; Neuman, W. Russell ; Shah, Dhavan V

The Annals of the American Academy of Political and Social Science, 2015-05, Vol.659 (1), p.48-62 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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3
Is Law Like Social Sciences? On ‘New Private Law Theory’ and the Call for Disciplinary Pluralism
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Is Law Like Social Sciences? On ‘New Private Law Theory’ and the Call for Disciplinary Pluralism

Resta, Giorgio

German law journal, 2022-07, Vol.23 (6), p.826-837 [Periódico revisado por pares]

Toronto: Cambridge University Press

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4
From Big Data to Knowledge in the Social Sciences
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From Big Data to Knowledge in the Social Sciences

HESSE, BRADFORD W. ; MOSER, RICHARD P. ; RILEY, WILLIAM T. Cappella, Joseph N ; Neuman, W. Russell ; Shah, Dhavan V

The Annals of the American Academy of Political and Social Science, 2015-05, Vol.659 (1), p.16-32 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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5
On Building Better Mousetraps and Understanding the Human Condition: Reflections on Big Data in the Social Sciences
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On Building Better Mousetraps and Understanding the Human Condition: Reflections on Big Data in the Social Sciences

LIN, JIMMY Cappella, Joseph N ; Neuman, W. Russell ; Shah, Dhavan V

The Annals of the American Academy of Political and Social Science, 2015-05, Vol.659 (1), p.33-47 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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6
Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites
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Artigo
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Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites

HARGITTAI, ESZTER Cappella, Joseph N ; Neuman, W. Russell ; Shah, Dhavan V

The Annals of the American Academy of Political and Social Science, 2015-05, Vol.659 (1), p.63-76 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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7
Testing Social Science Network Theories with Online Network Data: An Evaluation of External Validity
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Testing Social Science Network Theories with Online Network Data: An Evaluation of External Validity

BISBEE, JAMES ; LARSON, JENNIFER M.

The American political science review, 2017-08, Vol.111 (3), p.502-521 [Periódico revisado por pares]

New York, USA: Cambridge University Press

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8
United States: Racial Resentment, Negative Partisanship, and Polarization in Trump’s America
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United States: Racial Resentment, Negative Partisanship, and Polarization in Trump’s America

ABRAMOWITZ, ALAN ; McCOY, JENNIFER Somer, Murat ; McCoy, Jennifer

The Annals of the American Academy of Political and Social Science, 2019-01, Vol.681 (1), p.137-156 [Periódico revisado por pares]

Los Angeles, CA: Sage Publications, Inc

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9
Content Analysis and the Algorithmic Coder: What Computational Social Science Means for Traditional Modes of Media Analysis
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Content Analysis and the Algorithmic Coder: What Computational Social Science Means for Traditional Modes of Media Analysis

ZAMITH, RODRIGO ; LEWIS, SETH C. Cappella, Joseph N ; Neuman, W. Russell ; Shah, Dhavan V

The Annals of the American Academy of Political and Social Science, 2015-05, Vol.659 (1), p.307-318 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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10
Demand Effects in Survey Experiments: An Empirical Assessment
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Demand Effects in Survey Experiments: An Empirical Assessment

MUMMOLO, JONATHAN ; PETERSON, ERIK

The American political science review, 2019-05, Vol.113 (2), p.517-529 [Periódico revisado por pares]

New York, USA: Cambridge University Press

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