Teasing journalistic findings out of heterogeneous sources: a data/AI journey

Research output: Contribution to journal › Editorial

Original language	English
Pages (from-to)	III-V
Journal	DEBS 2022 - Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems
DOIs	https://doi.org/10.1145/3524860.3544406
Publication status	Published - 27 Jun 2022
Event	16th ACM International Conference on Distributed and Event-Based Systems, DEBS 2022 - Virtual, Online, Denmark Duration: 27 Jun 2022 → 30 Jun 2022

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@article{8f1f5a00ea10458fafd13137e1311f4e,

title = "Teasing journalistic findings out of heterogeneous sources: a data/AI journey",

author = "Ioana Manolescu",

year = "2022",

month = jun,

day = "27",

doi = "10.1145/3524860.3544406",

language = "English",

pages = "III--V",

journal = "DEBS 2022 - Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems",

note = "16th ACM International Conference on Distributed and Event-Based Systems, DEBS 2022 ; Conference date: 27-06-2022 Through 30-06-2022",

}

TY - JOUR

T1 - Teasing journalistic findings out of heterogeneous sources

T2 - 16th ACM International Conference on Distributed and Event-Based Systems, DEBS 2022

AU - Manolescu, Ioana

PY - 2022/6/27

Y1 - 2022/6/27

U2 - 10.1145/3524860.3544406

DO - 10.1145/3524860.3544406

M3 - Editorial

AN - SCOPUS:85142213762

SP - III-V

JO - DEBS 2022 - Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems

JF - DEBS 2022 - Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems

Y2 - 27 June 2022 through 30 June 2022

ER -