Commit
•
064dcfa
1
Parent(s):
c3a5e56
Added chapter on fellowship
Browse files
README.md
CHANGED
|
@@ -15,7 +15,7 @@ widget:
|
|
| 15 |
|
| 16 |
# WTWM Newsroom Mentions Detector
|
| 17 |
|
| 18 |
-
Please node that this model originates from the ["What's there, what's missing"](https://interaktiv.br.de/ai-detect-newsroom-mentions-in-comments/) collaboration of [AI & Automation Labl of Bayerischer Rundfunk (BR hereafter)](https://www.br.de/extra/ai-automation-lab/index.html) and [Mitteldeutscher Rundfunk (mdr hereafter)](https://www.mdr.de/) as well as [ida](https://idalab.de/). The collaboration took place during the [JournalismAI fellowship '22](https://www.lse.ac.uk/media-and-communications/polis/JournalismAI/Fellowship-Programme). The model presented is part of the the documenation of the half year of project time. The related technical framework can be found a [github](https://github.com/br-data/wtwm-topic-modelling).
|
| 19 |
|
| 20 |
## The task
|
| 21 |
|
|
@@ -110,3 +110,8 @@ A qualitative evaluation conducted by members of the BR and mdr in the daily con
|
|
| 110 |
|
| 111 |
The qualitative evaluation of [this project](https://interaktiv.br.de/ai-detect-newsroom-mentions-in-comments/) makes us confident that the mediocre quantitative results can be overcome with a sufficiently large corpus and that the overall prototype of the project can be a usefull addition to comment moderation tools.
|
| 112 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 15 |
|
| 16 |
# WTWM Newsroom Mentions Detector
|
| 17 |
|
| 18 |
+
Please node that this model originates from the ["What's there, what's missing"](https://interaktiv.br.de/ai-detect-newsroom-mentions-in-comments/) collaboration of [AI & Automation Labl of Bayerischer Rundfunk (BR hereafter)](https://www.br.de/extra/ai-automation-lab/index.html) and [Mitteldeutscher Rundfunk (mdr hereafter)](https://www.mdr.de/) as well as [ida](https://idalab.de/). The collaboration took place during the [JournalismAI fellowship '22](https://www.lse.ac.uk/media-and-communications/polis/JournalismAI/Fellowship-Programme) (see chapter **The fellowship** below). The model presented is part of the the documenation of the half year of project time. The related technical framework can be found a [github](https://github.com/br-data/wtwm-topic-modelling).
|
| 19 |
|
| 20 |
## The task
|
| 21 |
|
|
|
|
| 110 |
|
| 111 |
The qualitative evaluation of [this project](https://interaktiv.br.de/ai-detect-newsroom-mentions-in-comments/) makes us confident that the mediocre quantitative results can be overcome with a sufficiently large corpus and that the overall prototype of the project can be a usefull addition to comment moderation tools.
|
| 112 |
|
| 113 |
+
|
| 114 |
+
## The fellowship
|
| 115 |
+
|
| 116 |
+
[JournalismAI](https://www.lse.ac.uk/media-and-communications/polis/JournalismAI) is a project of [Polis](https://www.lse.ac.uk/media-and-communications/polis) – the journalism think-tank at the London School of Economics and Political Science – and it’s sponsored by the [Google News Initiative](https://newsinitiative.withgoogle.com/)). If you want to know more about the Fellowship and the other JournalismAI activities, [sign up for the newsletter](https://mailchi.mp/lse.ac.uk/journalismai) or get in touch with the team via hello@journalismai.info
|
| 117 |
+
|