--- title: News reports said that in New Hampshire in 2024 a robocall used an A… — Bots, troll farms and deepfakes in elections · tree and pragmatics description: News reports said that in New Hampshire in 2024 a robocall used an AI copy of President Biden's voice to tell people not to vote in a primary, and that the people behind it were fined. Who acts: News reports, robocall. A sentence of the lesson «Bots, troll farms and deepfakes in elections» of the po --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/politics/32-bots-troll-farms-and-deepfakes/8/) [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/) / [Politics](https://md.mova.elamur.ai/free/en/corpora/school/politics/) / [Bots, troll farms and deepfakes in ele…](https://md.mova.elamur.ai/free/en/corpora/school/politics/32-bots-troll-farms-and-deepfakes/) / 8 # Bots, troll farms and deepfakes in elections, sentence 8 News reports said that in New Hampshire in 2024 a robocall used an AI copy of President Biden's voice to tell people not to vote in a primary, and that the people behind it were fined. **Who acts:** News reports, robocall · **What happens:** say, use, tell, not vote, fine, copy · **To what, where:** AI copy, New Hampshire, people, primary, voice · **Speech:** someone speaks here This is a sentence of the lesson «Bots, troll farms and deepfakes in elections» of the politics 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 (News reports, robocall), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:politics:032-bots-troll-farms-and-deepfakes.lesson:8 # text = News reports said that in New Hampshire in 2024 a robocall used an AI copy of President Biden's voice to tell people not to vote in a primary, and that the people behind it were fined. # source = school lesson (ours) # course = politics # lesson = 032-bots-troll-farms-and-deepfakes.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): R5-strong ×6 1 News news NOUN NN Number=Sing 2 compound _ _ 2 reports report NOUN NNS Number=Plur 3 nsubj _ _ 3 said say VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 0 root _ _ 4 that that SCONJ IN _ 12 mark _ Agree=R5-strong|Haiku=11:mark 5 in in ADP IN _ 7 case _ _ 6 New New PROPN NNP _ 7 flat _ _ 7 Hampshire Hampshire PROPN NNP Number=Sing 12 obl _ Agree=R5-strong|Haiku=11:obl 8 in in ADP IN _ 9 case _ _ 9 2024 2024 NUM CD NumForm=Digit|NumType=Card 11 obl _ _ 10 a a DET DT Definite=Ind|PronType=Art 11 det _ _ 11 robocall robocall NOUN NN Number=Sing 12 nsubj _ Agree=R5-strong|Haiku=3:ccomp 12 used use VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 3 ccomp _ Agree=R5-strong|Haiku=11:acl|HaikuPos=VERB:VBN:Tense=Past|VerbForm=Part|Voice=Pass 13 an a DET DT Definite=Ind|PronType=Art 15 det _ _ 14 AI ai NOUN NN Number=Sing 15 compound _ _ 15 copy copy NOUN NN Number=Sing 12 obj _ _ 16 of of ADP IN _ 20 case _ _ 17 President President PROPN NNP Number=Sing 18 nmod:desc _ _ 18 Biden Biden PROPN NNP Number=Sing 20 nmod:poss _ _ 19 's 's PART POS _ 18 case _ _ 20 voice voice NOUN NN Number=Sing 15 nmod _ _ 21 to to PART TO _ 22 mark _ _ 22 tell tell VERB VB VerbForm=Inf 12 advcl _ Agree=R5-strong|Haiku=20:acl 23 people people NOUN NNS Number=Plur 22 obj _ _ 24 not not PART RB Polarity=Neg 26 advmod _ _ 25 to to PART TO _ 26 mark _ _ 26 vote vote VERB VB VerbForm=Inf 22 xcomp _ _ 27 in in ADP IN _ 29 case _ _ 28 a a DET DT Definite=Ind|PronType=Art 29 det _ _ 29 primary primary NOUN NN Number=Sing 26 obl _ _ 30 , , PUNCT , _ 38 punct _ _ 31 and and CCONJ CC _ 38 cc _ _ 32 that that SCONJ IN _ 38 mark _ _ 33 the the DET DT Definite=Def|PronType=Art 34 det _ _ 34 people people NOUN NNS Number=Plur 38 nsubj _ _ 35 behind behind ADP IN _ 36 case _ _ 36 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 34 nmod _ _ 37 were be AUX VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 38 aux:pass _ _ 38 fined fine VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 12 conj _ Agree=R5-strong|Haiku=3:conj 39 . . PUNCT . _ 3 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **say** *speech: assert* | past | News reports | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic | | 2 | **use** | past | a robocall | a AI copy of Biden President's voice | | New Hampshire | | | vn eat-39.1 «NP V NP»: agent=Agent copy=Patient | | 3 | **tell** *speech: assert* | to-infinitive | a robocall *not said here* | | people | | | | vn transfer\_mesg-37.1.1-1-1 «NP V NP S\_INF»: agent=Agent people=Recipient clause=Topic | | 4 | **not** **vote** *not said to happen* | to-infinitive | a robocall *not said here* | | | a primary | | | vn dub-29.3.2 «NP V NP»: agent=Agent | | 5 | **fine** | past · passive | | the people behind robocall | | | | | vn bill-54.5-1 «NP V NP.recipient»: subject=Recipient | | 6 | **copy** | | | Biden President's voice | | | | | nom copy «communication transitive»: of=patient | 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:politics:032-bots-troll-farms-and-deepfakes.lesson:8`. **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): R5-strong ×6. **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: [Bots, troll farms and deepfakes in ele…, 7](https://md.mova.elamur.ai/free/en/corpora/school/politics/32-bots-troll-farms-and-deepfakes/7/) - next →: [Bots, troll farms and deepfakes in ele…, 9](https://md.mova.elamur.ai/free/en/corpora/school/politics/32-bots-troll-farms-and-deepfakes/9/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/politics/32-bots-troll-farms-and-deepfakes/)