Measuring algorithmically infused societies
It has been the historic responsibility of the social sciences to investigate human societies. Fulfilling this responsibility requires social theories, measurement models and social data. Most existing theories and measurement models in the social sciences were not developed with the deep societal reach of algorithms in mind. The emergence of 'algorithmically infused societies'-societies whose very fabric is co-shaped by algorithmic and human behaviour-raises three key challenges: the insufficient quality of measurements, the complex consequences of (mis)measurements, and the limits of existing social theories. Here we argue that tackling these challenges requires new social theories that account for the impact of algorithmic systems on social realities. To develop such theories, we need new methodologies for integrating data and measurements into theory construction. Given the scale at which measurements can be applied, we believe measurement models should be trustworthy, auditable and just. To achieve this, the development of measurements should be transparent and participatory, and include mechanisms to ensure measurement quality and identify possible harms. We argue that computational social scientists should rethink what aspects of algorithmically infused societies should be measured, how they should be measured, and the consequences of doing so.
| Errataetall: |
CommentIn: Nature. 2021 Jul;595(7866):149-150. - PMID 34211175 |
|---|---|
| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2021 |
|---|---|
| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:595 |
|---|---|
| Enthalten in: |
Nature - 595(2021), 7866 vom: 30. Juli, Seite 197-204 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Wagner, Claudia [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 05.08.2021 Date Revised 26.10.2022 published: Print-Electronic CommentIn: Nature. 2021 Jul;595(7866):149-150. - PMID 34211175 Citation Status MEDLINE |
|---|
| doi: |
10.1038/s41586-021-03666-1 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM327408189 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM327408189 | ||
| 003 | DE-627 | ||
| 005 | 20231225200724.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2021 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1038/s41586-021-03666-1 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1091.xml |
| 035 | |a (DE-627)NLM327408189 | ||
| 035 | |a (NLM)34194046 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Wagner, Claudia |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Measuring algorithmically infused societies |
| 264 | 1 | |c 2021 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 05.08.2021 | ||
| 500 | |a Date Revised 26.10.2022 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a CommentIn: Nature. 2021 Jul;595(7866):149-150. - PMID 34211175 | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a It has been the historic responsibility of the social sciences to investigate human societies. Fulfilling this responsibility requires social theories, measurement models and social data. Most existing theories and measurement models in the social sciences were not developed with the deep societal reach of algorithms in mind. The emergence of 'algorithmically infused societies'-societies whose very fabric is co-shaped by algorithmic and human behaviour-raises three key challenges: the insufficient quality of measurements, the complex consequences of (mis)measurements, and the limits of existing social theories. Here we argue that tackling these challenges requires new social theories that account for the impact of algorithmic systems on social realities. To develop such theories, we need new methodologies for integrating data and measurements into theory construction. Given the scale at which measurements can be applied, we believe measurement models should be trustworthy, auditable and just. To achieve this, the development of measurements should be transparent and participatory, and include mechanisms to ensure measurement quality and identify possible harms. We argue that computational social scientists should rethink what aspects of algorithmically infused societies should be measured, how they should be measured, and the consequences of doing so | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Strohmaier, Markus |e verfasserin |4 aut | |
| 700 | 1 | |a Olteanu, Alexandra |e verfasserin |4 aut | |
| 700 | 1 | |a Kıcıman, Emre |e verfasserin |4 aut | |
| 700 | 1 | |a Contractor, Noshir |e verfasserin |4 aut | |
| 700 | 1 | |a Eliassi-Rad, Tina |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Nature |d 1945 |g 595(2021), 7866 vom: 30. Juli, Seite 197-204 |w (DE-627)NLM000008257 |x 1476-4687 |7 nnns |
| 773 | 1 | 8 | |g volume:595 |g year:2021 |g number:7866 |g day:30 |g month:07 |g pages:197-204 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1038/s41586-021-03666-1 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 595 |j 2021 |e 7866 |b 30 |c 07 |h 197-204 | ||