--- title: The same news pages also told of copied voices, fake books under rea… — In the news: tricked bots, real discoveries, car… · tree and pragmatics description: The same news pages also told of copied voices, fake books under real authors' names, wrong answers about elections, and the hidden people paid to check and label answers. Who acts: same news pages, hidden people, real authors. A sentence of the lesson «In the news: tricked bots, real discoveries, c --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/ai/23-news-tricked-bots-discoveries/3/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [AI](https://md.mova.elamur.ai/free/en/corpora/school/ai/) / [In the news: tricked bots, real discov…](https://md.mova.elamur.ai/free/en/corpora/school/ai/23-news-tricked-bots-discoveries/) / 3 # In the news: tricked bots, real discoveries, careful words, sentence 3 The same news pages also told of copied voices, fake books under real authors' names, wrong answers about elections, and the hidden people paid to check and label answers. **Who acts:** same news pages, hidden people, real authors · **What happens:** tell, copy, pay, check, label, name · **To what, where:** names, answers · **Speech:** someone speaks here This is a sentence of the lesson «In the news: tricked bots, real discoveries, careful words» of the ai course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (same news pages, hidden people, real authors), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:ai:023-news-tricked-bots-discoveries.lesson:3 # text = The same news pages also told of copied voices, fake books under real authors' names, wrong answers about elections, and the hidden people paid to check and label answers. # source = school lesson (ours) # course = ai # lesson = 023-news-tricked-bots-discoveries.lesson # annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R7-rel-agree ×2 1 The the DET DT Definite=Def|PronType=Art 4 det _ _ 2 same same ADJ JJ Degree=Pos 4 amod _ _ 3 news news NOUN NN Number=Sing 4 compound _ _ 4 pages page NOUN NNS Number=Plur 6 nsubj _ _ 5 also also ADV RB _ 6 advmod _ _ 6 told tell VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 7 of of ADP IN _ 9 case _ _ 8 copied copy VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 9 amod _ _ 9 voices voice NOUN NNS Number=Plur 6 obl _ _ 10 , , PUNCT , _ 12 punct _ _ 11 fake fake ADJ JJ Degree=Pos 12 amod _ _ 12 books book NOUN NNS Number=Plur 9 conj _ _ 13 under under ADP IN _ 17 case _ _ 14 real real ADJ JJ Degree=Pos 15 amod _ _ 15 authors author NOUN NNS Number=Plur 17 nmod:poss _ Agree=R7-rel-agree|Haiku=17:compound 16 ' 's PART POS _ 15 case _ _ 17 names name NOUN NNS Number=Plur 6 obl _ _ 18 , , PUNCT , _ 20 punct _ _ 19 wrong wrong ADJ JJ Degree=Pos 20 amod _ _ 20 answers answer NOUN NNS Number=Plur 17 conj _ _ 21 about about ADP IN _ 22 case _ _ 22 elections election NOUN NNS Number=Plur 20 nmod _ _ 23 , , PUNCT , _ 28 punct _ _ 24 and and CCONJ CC _ 28 cc _ _ 25 the the DET DT Definite=Def|PronType=Art 27 det _ _ 26 hidden hidden ADJ JJ Degree=Pos 27 amod _ _ 27 people people NOUN NNS Number=Plur 28 nsubj _ _ 28 paid pay VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 6 conj _ _ 29 to to PART TO _ 30 mark _ _ 30 check check VERB VB VerbForm=Inf 28 advcl _ Agree=R7-rel-agree|Haiku=28:xcomp 31 and and CCONJ CC _ 32 cc _ _ 32 label label VERB VB VerbForm=Inf 30 conj _ _ 33 answers answer NOUN NNS Number=Plur 32 obj _ _ 34 . . PUNCT . _ 6 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **tell** *speech: assert* | past | the same news pages | | | real authors's names and wrong answers about elections | | of copied voices and fake books | vn transfer\_mesg-37.1.1-1-1 «NP V»: agent=Agent | | 2 | **copy** | participle | | | | | | | vn scribble-25.2 «NP V NP»: agent=Agent | | 3 | **pay** | past | the hidden people | | | | | | vn pay-68-1 «NP V NP»: agent=Agent | | 4 | **check** | to-infinitive | the hidden people *not said here* | | | | | | vn assessment-34.1 «NP V NP»: agent=Agent | | 5 | **label** | infinitive | the hidden people *not said here* | answers | | | | | vn butter-9.9 «NP V NP.destination»: agent=Agent answer=Destination | | 6 | **name** | | real authors | | | | | | nom name «communication transitive»: poss=agent | One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree. **Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:ai:023-news-tricked-bots-discoveries.lesson:3`. **The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R7-rel-agree ×2. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence. See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [In the news: tricked bots, real discov…, 2](https://md.mova.elamur.ai/free/en/corpora/school/ai/23-news-tricked-bots-discoveries/2/) - next →: [In the news: tricked bots, real discov…, 4](https://md.mova.elamur.ai/free/en/corpora/school/ai/23-news-tricked-bots-discoveries/4/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/23-news-tricked-bots-discoveries/)