Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities
Rapid development and adoption of natural language processing (NLP) techniques has led to a multitude of exciting and innovative societal and health care applications. These advancements have also generated concerns around perpetuation of historical injustices and that these tools lack cu...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2023-08-01
|
| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2023/1/e48498 |
| _version_ | 1797754502598623232 |
|---|---|
| author | Malvika Pillai Ashley C Griffin Clair A Kronk Terika McCall |
| author_facet | Malvika Pillai Ashley C Griffin Clair A Kronk Terika McCall |
| author_sort | Malvika Pillai |
| collection | DOAJ |
| description |
Rapid development and adoption of natural language processing (NLP) techniques has led to a multitude of exciting and innovative societal and health care applications. These advancements have also generated concerns around perpetuation of historical injustices and that these tools lack cultural considerations. While traditional health care NLP techniques typically include clinical subject matter experts to extract health information or aid in interpretation, few NLP tools involve community stakeholders with lived experiences. In this perspective paper, we draw upon the field of community-based participatory research, which gathers input from community members for development of public health interventions, to identify and examine ways to equitably involve communities in developing health care NLP tools. To realize the potential of community-based NLP (CBNLP), research and development teams must thoughtfully consider mechanisms and resources needed to effectively collaborate with community members for maximal societal and ethical impact of NLP-based tools. |
| first_indexed | 2024-03-12T17:33:22Z |
| format | Article |
| id | doaj.art-2927203028c2422baf24348f4420e00d |
| institution | Directory Open Access Journal |
| issn | 1438-8871 |
| language | English |
| last_indexed | 2024-03-12T17:33:22Z |
| publishDate | 2023-08-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | Journal of Medical Internet Research |
| spelling | doaj.art-2927203028c2422baf24348f4420e00d2023-08-04T14:47:15ZengJMIR PublicationsJournal of Medical Internet Research1438-88712023-08-0125e4849810.2196/48498Toward Community-Based Natural Language Processing (CBNLP): Cocreating With CommunitiesMalvika Pillaihttps://orcid.org/0000-0001-8739-189XAshley C Griffinhttps://orcid.org/0000-0002-1535-0797Clair A Kronkhttps://orcid.org/0000-0001-8397-8810Terika McCallhttps://orcid.org/0000-0002-8143-5393 Rapid development and adoption of natural language processing (NLP) techniques has led to a multitude of exciting and innovative societal and health care applications. These advancements have also generated concerns around perpetuation of historical injustices and that these tools lack cultural considerations. While traditional health care NLP techniques typically include clinical subject matter experts to extract health information or aid in interpretation, few NLP tools involve community stakeholders with lived experiences. In this perspective paper, we draw upon the field of community-based participatory research, which gathers input from community members for development of public health interventions, to identify and examine ways to equitably involve communities in developing health care NLP tools. To realize the potential of community-based NLP (CBNLP), research and development teams must thoughtfully consider mechanisms and resources needed to effectively collaborate with community members for maximal societal and ethical impact of NLP-based tools.https://www.jmir.org/2023/1/e48498 |
| spellingShingle | Malvika Pillai Ashley C Griffin Clair A Kronk Terika McCall Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities Journal of Medical Internet Research |
| title | Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities |
| title_full | Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities |
| title_fullStr | Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities |
| title_full_unstemmed | Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities |
| title_short | Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities |
| title_sort | toward community based natural language processing cbnlp cocreating with communities |
| url | https://www.jmir.org/2023/1/e48498 |
| work_keys_str_mv | AT malvikapillai towardcommunitybasednaturallanguageprocessingcbnlpcocreatingwithcommunities AT ashleycgriffin towardcommunitybasednaturallanguageprocessingcbnlpcocreatingwithcommunities AT clairakronk towardcommunitybasednaturallanguageprocessingcbnlpcocreatingwithcommunities AT terikamccall towardcommunitybasednaturallanguageprocessingcbnlpcocreatingwithcommunities |