Table 1: Descriptive results of human coding and JeRI tokenization (reflecting first 50 stories coded)
| Source by category | Coders | JeRI: Entered |
|---|---|---|
| Number of sources/ total | 395 | 489 |
| AUT (Authority) | 227 | 44 |
| EXP (Expert) | 63 | 23 |
| UNA (Unaffiliated) | 63 | 17 |
| ORG (Organization) | 4 | 1 |
| MED (Media) | 38 | 1 |
| Skip* | n/a | 403 |
*Skip indicates instances in which JeRI misidentified sources and then was trained to categorize them correctly. JeRI results are expected improve as training progresses.
Table 2: Descriptive results of human coding of Toronto Star story, “Anti-carding coalition urges a bold rewrite of Ontario’s rules for ‘street checks’” (December 5, 2015)
| Source | Frequency | Position | Attribution words | Lines of attribution | Headline | Subhead |
|---|---|---|---|---|---|---|
| Coalition | 1 | 1 | Says, Calls, Say, Reads, Continues the release | 8 | 1 | 1 |
| Howard Morton | 1 | 2 | Says | 1 | 0 | 0 |
| Alok Mukherjee | 1 | 3 | Said | 1 | 0 | 0 |
| Police Leaders/Unions | 1 | 4 | Said | 1 | 0 | 0 |
| Rights Groups | 1 | 5 | Hailed, Write, Say | 3 | 0 | 0 |
| Sukanya Pillay | 1 | 6 | "Voices" | 1 | 0 | 0 |
| Renu Mandhane | 1 | 7 | "Voices" | 1 | 0 | 0 |
| Knia Singh | 1 | 8 | "Voices" | 1 | 0 | 0 |
| Gordon Cressy | 1 | 9 | "Voices" | 1 | 0 | 0 |
| Cutty Duncan & Shadya Yasin | 1 | 10 | "Voices" | 1 | 0 | 0 |
| Ranjit Khatkur | 1 | 11 | "Voices" | 1 | 0 | 0 |