How large scale cell-phone (and other) non-probability polling, big data, and advanced algorithms can inform our understanding of vote intention
Abstract/Contents
- Abstract
- Response rates for representative telephone surveys are in decline, at the same time, face-to-face surveys are increasingly difficult and expensive to conduct. This dissertation makes a case for the usability of non-representative survey data. Chapter 1 gives some background on the history of political polling, and highlights the advantages of newer modes of non-representative data collection - mobile, online, or via gaming systems. Chapter 2 introduces survey data collected via mobile applications, and highlights the numerous advantages this data brings to the table with a focus on ambient data, specifically location data. Chapter 3 documents how this mobile data can be used to forecast the Presidential elections in 2016 accurate. Chapter 4 makes use of the scale and time-granularity non-representative polling data allows researchers to consider by investigating the causal effect of ad spending on vote intention at the more meaningful aggregate level, finding that ad spending in the last six weeks, when the campaign is in full swing, backfires. In concluding, I highlight the advantages of survey data collected via non-representative means for (campaign) practitioners and academics alike.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2017 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Konitzer, Tobias B |
|---|---|
| Associated with | Stanford University, Department of Communication. |
| Primary advisor | Iyengar, Shanto |
| Thesis advisor | Iyengar, Shanto |
| Thesis advisor | Fishkin, James S |
| Thesis advisor | Goel, Sharad, 1977- |
| Thesis advisor | Hamilton, James, 1961- |
| Advisor | Fishkin, James S |
| Advisor | Goel, Sharad, 1977- |
| Advisor | Hamilton, James, 1961- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Tobias B. Konitzer. |
|---|---|
| Note | Submitted to the Department of Communication. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Tobias Benjamin Konitzer
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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