Big data meets survey science : a collection of innovative methods / / edited by Craig A. Hill [and six others] |
Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , ℗2021 |
Descrizione fisica | 1 online resource (787 pages) |
Disciplina | 005.7 |
Soggetto topico | Big data |
ISBN |
1-118-97634-7
1-118-97633-9 1-118-97635-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910555145503321 |
Hoboken, NJ : , : Wiley, , ℗2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Social media, sociality, and survey research / / edited by Craig A. Hill (RTI International, Research Triangle Park, NC), Elizabeth Dean (RTI International, Research Triangle Park, NC), Joe Murphy (RTI International, Research Triangle Park, NC) |
Edizione | [1st edition] |
Pubbl/distr/stampa | ©2014 |
Descrizione fisica | 1 online resource (362 p.) |
Disciplina | 302.23/1 |
Altri autori (Persone) |
HillCraig A. <1956->
DeanElizabeth <1974-> MurphyJoe <1974-> |
Soggetto topico |
Online social networks - Research
Social media - Research Social surveys - Methodology |
ISBN |
1-118-75153-1
1-118-59502-5 1-118-59498-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Social Media, Sociality, and Survey Research; Contents; List of Figures; List of Tables; Contributors; Preface; Acknowledgments; 1. Social Media, Sociality, and Survey Research; What Is Social Media?; Social Media Origins; Social Networking Sites and Platforms; Blogs; Twitter; Facebook; LinkedIn; Second Life; Other Social Networking Platforms and Functionalities; Why Should Survey Researchers Be Interested in Social Media?; The Current State of Survey Research; Falling Response Rates; Frame Coverage Errors; The Coming Age of Ubiquity; Public vs. Private Data
Social Media Interaction: Next Wave (or Subwave)?Adding Social Media to the Survey Research Toolbox; Toward Using the Concept of Sociality in Survey Research of the Future; How Can Survey Researchers Use Social Media Data?; References; 2. Sentiment Analysis: Providing Categorical Insight into Unstructured Textual Data; Describing Emotional or Subjective Feeling in Textual Data; Definition of Machine-Augmented Sentiment Analysis; How Sentiment Analysis Is Used with Text Data; Different Ways of Representing Sentiment; Ordinal Scales; Nominal Emotion Classification; Neutral Sentiment Techniques for Determining SentimentPrecursors to Analysis; Harvesting; Structure and Understand; Approaches to Determining Sentiment; Machine-Coded Sentiment Analysis; Human-Coded Sentiment Analysis; Sentiment Analysis as a Subset of Text Analytics; Current Limitations of Sentiment Analysis; References; 3. Can Tweets Replace Polls? A U.S. Health-Care Reform Case Study; Methods; Twitter Data; Public Opinion About Health-Care Reform: Kaiser Health Tracking Poll; Analysis; Results; RQ1: To What Extent Was Health-Care Reform Discussed on Twitter? RQ2: What Is the Distribution of Sentiment of Health-Care Reform Tweets?RQ3. Do Trends in the Sentiment of Tweets About Health-Care Reform Correlate with Observed Trends in Public Opinion About Health-Care Reform from Nationally Representative Probability-Based Surveys?; KFF Trends; Comparison; RQ4. What Are the Key Topics Discussed in Health-Care Reform Tweets?; Discussion; Conclusions; References; 4. The Facebook Platform and the Future of Social Research; The Changing Web: From Searchable to Social; Digital and Digitized Data; The Case for Facebook Integration; Data and the Graph API Facebook ApplicationsSocial Plugins; The Future, Mobile Apps, and the Ever Increasing Complexity of the Social Graph; References; 5. Virtual Cognitive Interviewing Using Skype and Second Life; Brief Background on Cognitive Interviews; Cognitive Interviewing Current Practice; Practitioners' Techniques; Cognitive Interviews in Practice: Present and Future; Second Life for Survey Research; Methods; Recruitment; Screening; Incentive; Think-Aloud and Probes; Results; Overall Participant Characteristics; Feasibility of Pilot Study; Quality of Cognitive Interviews by Mode; Participant Disengagement Nonverbal Cues |
Record Nr. | UNINA-9910133916703321 |
©2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Social media, sociality, and survey research / / edited by Craig A. Hill (RTI International, Research Triangle Park, NC), Elizabeth Dean (RTI International, Research Triangle Park, NC), Joe Murphy (RTI International, Research Triangle Park, NC) |
Edizione | [1st edition] |
Pubbl/distr/stampa | ©2014 |
Descrizione fisica | 1 online resource (362 p.) |
Disciplina | 302.23/1 |
Altri autori (Persone) |
HillCraig A. <1956->
DeanElizabeth <1974-> MurphyJoe <1974-> |
Soggetto topico |
Online social networks - Research
Social media - Research Social surveys - Methodology |
ISBN |
1-118-75153-1
1-118-59502-5 1-118-59498-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Social Media, Sociality, and Survey Research; Contents; List of Figures; List of Tables; Contributors; Preface; Acknowledgments; 1. Social Media, Sociality, and Survey Research; What Is Social Media?; Social Media Origins; Social Networking Sites and Platforms; Blogs; Twitter; Facebook; LinkedIn; Second Life; Other Social Networking Platforms and Functionalities; Why Should Survey Researchers Be Interested in Social Media?; The Current State of Survey Research; Falling Response Rates; Frame Coverage Errors; The Coming Age of Ubiquity; Public vs. Private Data
Social Media Interaction: Next Wave (or Subwave)?Adding Social Media to the Survey Research Toolbox; Toward Using the Concept of Sociality in Survey Research of the Future; How Can Survey Researchers Use Social Media Data?; References; 2. Sentiment Analysis: Providing Categorical Insight into Unstructured Textual Data; Describing Emotional or Subjective Feeling in Textual Data; Definition of Machine-Augmented Sentiment Analysis; How Sentiment Analysis Is Used with Text Data; Different Ways of Representing Sentiment; Ordinal Scales; Nominal Emotion Classification; Neutral Sentiment Techniques for Determining SentimentPrecursors to Analysis; Harvesting; Structure and Understand; Approaches to Determining Sentiment; Machine-Coded Sentiment Analysis; Human-Coded Sentiment Analysis; Sentiment Analysis as a Subset of Text Analytics; Current Limitations of Sentiment Analysis; References; 3. Can Tweets Replace Polls? A U.S. Health-Care Reform Case Study; Methods; Twitter Data; Public Opinion About Health-Care Reform: Kaiser Health Tracking Poll; Analysis; Results; RQ1: To What Extent Was Health-Care Reform Discussed on Twitter? RQ2: What Is the Distribution of Sentiment of Health-Care Reform Tweets?RQ3. Do Trends in the Sentiment of Tweets About Health-Care Reform Correlate with Observed Trends in Public Opinion About Health-Care Reform from Nationally Representative Probability-Based Surveys?; KFF Trends; Comparison; RQ4. What Are the Key Topics Discussed in Health-Care Reform Tweets?; Discussion; Conclusions; References; 4. The Facebook Platform and the Future of Social Research; The Changing Web: From Searchable to Social; Digital and Digitized Data; The Case for Facebook Integration; Data and the Graph API Facebook ApplicationsSocial Plugins; The Future, Mobile Apps, and the Ever Increasing Complexity of the Social Graph; References; 5. Virtual Cognitive Interviewing Using Skype and Second Life; Brief Background on Cognitive Interviews; Cognitive Interviewing Current Practice; Practitioners' Techniques; Cognitive Interviews in Practice: Present and Future; Second Life for Survey Research; Methods; Recruitment; Screening; Incentive; Think-Aloud and Probes; Results; Overall Participant Characteristics; Feasibility of Pilot Study; Quality of Cognitive Interviews by Mode; Participant Disengagement Nonverbal Cues |
Record Nr. | UNINA-9910828109503321 |
©2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|