Civil Society Data for Sustainable Development Goal 16 Monitoring: A Case Study of the Use of Social Networks for Measuring Perception of Discrimination
In recent years, the use of nontraditional data sources in statistical production has been increasing, given the additional need for more timely and disaggregated data. In the scope of nontraditional sources, citizen science represents an innovative approach to filling data gaps and including citize...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2023-06-01
|
| Series: | Citizen Science: Theory and Practice |
| Subjects: | |
| Online Access: | https://account.theoryandpractice.citizenscienceassociation.org/index.php/up-j-cstp/article/view/590 |
| _version_ | 1797777795483435008 |
|---|---|
| author | Victor Arevalo Cabra Karen Chávez Quintero Andrés D. Pérez Grace Torres Pineda Julieth Solano Villa Vahan Martirosyan |
| author_facet | Victor Arevalo Cabra Karen Chávez Quintero Andrés D. Pérez Grace Torres Pineda Julieth Solano Villa Vahan Martirosyan |
| author_sort | Victor Arevalo Cabra |
| collection | DOAJ |
| description | In recent years, the use of nontraditional data sources in statistical production has been increasing, given the additional need for more timely and disaggregated data. In the scope of nontraditional sources, citizen science represents an innovative approach to filling data gaps and including citizens as part of the recent innovation processes of national statistical offices (NSOs) in both the production of statistics and its role as data stewards of the national statistical systems (NSSs). The National Statistical Office of Colombia (DANE, acronym in Spanish) has structured a project within the framework of the Data4Now initiative for Sustainable Development Goal (SDG) indicators from SDG 16, using social networks as an alternative source of data generated by citizens, and natural language processing (NLP) to extract actionable intelligence from this data. In this paper, we describe the proposed strategy followed by DANE to estimate SDG indicators 16.b.1 and 16.7.2 as a pilot exercise in the framework of experimental statistics. Preliminary results illustrate potential use cases of unconventional information streams to analyze social phenomena through virtual environments such as online social media, and raise compelling challenges regarding representativity and quality assurance based on the statistical standards used by NSOs. |
| first_indexed | 2024-03-12T23:09:40Z |
| format | Article |
| id | doaj.art-77c64634110d400689b6f52dadce8c58 |
| institution | Directory Open Access Journal |
| issn | 2057-4991 |
| language | English |
| last_indexed | 2024-03-12T23:09:40Z |
| publishDate | 2023-06-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Citizen Science: Theory and Practice |
| spelling | doaj.art-77c64634110d400689b6f52dadce8c582023-07-18T08:13:37ZengUbiquity PressCitizen Science: Theory and Practice2057-49912023-06-0181383810.5334/cstp.590163Civil Society Data for Sustainable Development Goal 16 Monitoring: A Case Study of the Use of Social Networks for Measuring Perception of DiscriminationVictor Arevalo Cabra0https://orcid.org/0000-0001-9068-1265Karen Chávez Quintero1https://orcid.org/0000-0001-5502-9319Andrés D. Pérez2https://orcid.org/0000-0001-5410-4938Grace Torres Pineda3https://orcid.org/0000-0002-1693-4866Julieth Solano Villa4https://orcid.org/0000-0002-8929-8565Vahan Martirosyan5https://orcid.org/0009-0006-7213-8588Departamento Administrativo Nacional de Estadística (DANE)Departamento Administrativo Nacional de Estadística (DANE)Departamento Administrativo Nacional de Estadística (DANE)Departamento Administrativo Nacional de Estadística (DANE)Departamento Administrativo Nacional de Estadística (DANE)United Nations Development ProgramIn recent years, the use of nontraditional data sources in statistical production has been increasing, given the additional need for more timely and disaggregated data. In the scope of nontraditional sources, citizen science represents an innovative approach to filling data gaps and including citizens as part of the recent innovation processes of national statistical offices (NSOs) in both the production of statistics and its role as data stewards of the national statistical systems (NSSs). The National Statistical Office of Colombia (DANE, acronym in Spanish) has structured a project within the framework of the Data4Now initiative for Sustainable Development Goal (SDG) indicators from SDG 16, using social networks as an alternative source of data generated by citizens, and natural language processing (NLP) to extract actionable intelligence from this data. In this paper, we describe the proposed strategy followed by DANE to estimate SDG indicators 16.b.1 and 16.7.2 as a pilot exercise in the framework of experimental statistics. Preliminary results illustrate potential use cases of unconventional information streams to analyze social phenomena through virtual environments such as online social media, and raise compelling challenges regarding representativity and quality assurance based on the statistical standards used by NSOs.https://account.theoryandpractice.citizenscienceassociation.org/index.php/up-j-cstp/article/view/590facebookdiscriminationexperimental statisticscitizen-generated datasustainable development goalsnatural language processingmachine learning |
| spellingShingle | Victor Arevalo Cabra Karen Chávez Quintero Andrés D. Pérez Grace Torres Pineda Julieth Solano Villa Vahan Martirosyan Civil Society Data for Sustainable Development Goal 16 Monitoring: A Case Study of the Use of Social Networks for Measuring Perception of Discrimination Citizen Science: Theory and Practice discrimination experimental statistics citizen-generated data sustainable development goals natural language processing machine learning |
| title | Civil Society Data for Sustainable Development Goal 16 Monitoring: A Case Study of the Use of Social Networks for Measuring Perception of Discrimination |
| title_full | Civil Society Data for Sustainable Development Goal 16 Monitoring: A Case Study of the Use of Social Networks for Measuring Perception of Discrimination |
| title_fullStr | Civil Society Data for Sustainable Development Goal 16 Monitoring: A Case Study of the Use of Social Networks for Measuring Perception of Discrimination |
| title_full_unstemmed | Civil Society Data for Sustainable Development Goal 16 Monitoring: A Case Study of the Use of Social Networks for Measuring Perception of Discrimination |
| title_short | Civil Society Data for Sustainable Development Goal 16 Monitoring: A Case Study of the Use of Social Networks for Measuring Perception of Discrimination |
| title_sort | civil society data for sustainable development goal 16 monitoring a case study of the use of social networks for measuring perception of discrimination |
| topic | facebook discrimination experimental statistics citizen-generated data sustainable development goals natural language processing machine learning |
| url | https://account.theoryandpractice.citizenscienceassociation.org/index.php/up-j-cstp/article/view/590 |
| work_keys_str_mv | AT victorarevalocabra civilsocietydataforsustainabledevelopmentgoal16monitoringacasestudyoftheuseofsocialnetworksformeasuringperceptionofdiscrimination AT karenchavezquintero civilsocietydataforsustainabledevelopmentgoal16monitoringacasestudyoftheuseofsocialnetworksformeasuringperceptionofdiscrimination AT andresdperez civilsocietydataforsustainabledevelopmentgoal16monitoringacasestudyoftheuseofsocialnetworksformeasuringperceptionofdiscrimination AT gracetorrespineda civilsocietydataforsustainabledevelopmentgoal16monitoringacasestudyoftheuseofsocialnetworksformeasuringperceptionofdiscrimination AT juliethsolanovilla civilsocietydataforsustainabledevelopmentgoal16monitoringacasestudyoftheuseofsocialnetworksformeasuringperceptionofdiscrimination AT vahanmartirosyan civilsocietydataforsustainabledevelopmentgoal16monitoringacasestudyoftheuseofsocialnetworksformeasuringperceptionofdiscrimination |