This study introduces a framework for identifying and assessing valuable data sources within online communities for public-based technology foresight. It aims to determine which communities offer insightful text data based on expertise and diversity for technology forecasting. The methodology combines bibliographic analysis with topic modeling techniques for a semantic examination of the community texts. A case study involving 20 candidate communities focused on technology discussions and predictions is conducted, using newly proposed metrics for evaluation. The research contributes to broadening technology foresight to include public participation, moving beyond reliance solely on a limited number of experts.
-
Kim, Youngjun, and Changho Son. "Evaluation of Online Communities for Technology Foresight: Data-Driven Approach Based on Expertise and Diversity." Sustainability 14.20 (2022): 13040.
-
Members
- Chris Anderson
- JoelR
- JoeyM
- envy
- Adriano Faria
- Square Wheels
- Nathan Explosion
- Dilip
- DawPi
- V0RT3X
- ali hagi
- lukash
- TracyIsland
- opentype
- StevenM
- Como
- Marcin Martyniak
- IC Essentials
- Andhrafriends Admin
- adik
- N700
- MissB
- XwReK
- terabyte
- GazzaGarratt
- A Zayed
- PrettyPixels
- Paul
- onlyME
- isvans
- Claudia999
- rainx
- NewVicious
- Daffy
- hyprem
- GuitarGathering
- Tripp
- Kirill Gromov
- Askancy
- MLK
- aXenDev
- Live Games
- Jelly Belly
- eveneme eveneme
- Analog
- Synergy
- burnyourfeelings
- Nomad
- ReyDev
- Morphe
- eivindsimensen
- YourSharona
- lordi
- shahed
- John Horton
- PayMap
- Serval
- Matt
- Nomer3
- Dennis Maidon
- Nicolas PC
- Ioannis D
- bernhara
- Zennuie
- COSMIN
- wulfx01
- Matthew Hawley
- bing11
- Verto
- George Anderssen
- Toby
- Cheryl
- ArashDev
- abobader
- IPS THEME
- SzymonPajacyk
- Bearback
- nosavinggrace
- Aengul
- Labis
- Maxius
- Shawn RR
- Richard Arch
- Marius
- Gary
- Sofia
- Ryan
- JoshB
- John Morris
- Mila
- Montreal
- aLEX49566
- PPlanet
- Ronald
- Fabian Paul Sanabria
- Meddysong
- sulervo
- PasXal
- ozman
- ZLTRGO