Exam question 2 · Fake websites, fake news and bots, skipping a lesson, keep…

Identify the principal means of detecting fake news.

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: you, principal · What happens: identify, mean, detect · To what, where: fake news

This is exam question 2 of lesson 335 «Fake websites, fake news and bots, skipping a lesson, keeping surprises and being trusted» of the everyday course of Mova's primary school, asked in stiff, formal language. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: the test at school.

The question

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Identify	identify	VERB	Mood=Imp VerbForm=Fin	root	root
2	the	the	DET	Definite=Def PronType=Art	3 principal	det
3	principal	principal	NOUN	Number=Sing	4 means	nsubj
4	means	mean	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	1 Identify	acl:relcl
5	of	of	SCONJ	_	6 detecting	mark
6	detecting	detect	VERB	Tense=Pres VerbForm=Part	4 means	advcl
7	fake	fake	ADJ	Degree=Pos	8 news	amod
8	news	news	NOUN	Number=Sing	6 detecting	obj
9	.	.	PUNCT	_	1 Identify	punct

#	verb	tense, mood	who	what, whom	roles by
1	identify	imperative	you not said here		vn empathize-88.2 «NP V»: agent=Experiencer
2	mean	present	the principal		vn intend-61.2-1 «NP V S»: agent=Agent
3	detect	gerund	the principal not said here	fake news	vn see-30.1-1 «NP V S»: agent=Experiencer news=Stimulus

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.

The options

Option 1 · ← Mova's choice · ✓ the right answer

Checking whether other trusted sources report the same story

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Checking	check	VERB	Tense=Pres VerbForm=Part	root	root
2	whether	whether	SCONJ	_	6 report	mark
3	other	other	ADJ	Degree=Pos	5 sources	amod
4	trusted	trust	VERB	Tense=Past VerbForm=Part Voice=Pass	5 sources	amod
5	sources	source	NOUN	Number=Plur	6 report	nsubj
6	report	report	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	1 Checking	ccomp
7	the	the	DET	Definite=Def PronType=Art	9 story	det
8	same	same	ADJ	Degree=Pos	9 story	amod
9	story	story	NOUN	Number=Sing	6 report	obj

#	verb	tense, mood	who	what, whom	roles by
1	check	gerund			tree rules
2	trust	participle			vn conjecture-29.5-1 «NP V that S»: agent=Agent
3	report	present	other trusted sources	the same story	vn prosecute-33.2 «NP V NP»: agent=Agent story=Patient

Option 2

Counting how many people have shared it, liked it or commented upon it

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Counting	count	VERB	VerbForm=Ger	9 liked	csubj
2	how	how	ADV	PronType=Int	3 many	advmod
3	many	many	ADJ	Degree=Pos	4 people	amod
4	people	people	NOUN	Number=Plur	6 shared	nsubj
5	have	have	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	6 shared	aux
6	shared	share	VERB	Tense=Past VerbForm=Part	1 Counting	ccomp
7	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	6 shared	obj
8	,	,	PUNCT	_	1 Counting	punct
9	liked	like	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
10	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	9 liked	obj
11	or	or	CCONJ	_	12 commented	cc
12	commented	comment	VERB	Tense=Past VerbForm=Part	9 liked	conj
13	upon	upon	ADP	_	14 it	case
14	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	12 commented	obl

#	verb	tense, mood	who	what, whom	other	roles by
1	count	gerund				vn characterize-29.2 «NP V NP to be ADJ»: agent=Agent clause=Attribute
2	share	present · perfect	many people	it		tree rules
3	like	past	Counting	it		vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot it=Theme
4	comment speech: other	participle	Counting not said here		upon it	vn lecture-37.11-1-1 «NP V»: agent=Agent

Option 3

Trusting whichever story is most exciting

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Trusting	trust	VERB	VerbForm=Ger	6 exciting	csubj
2	whichever	whichever	NOUN	Number=Sing	3 story	compound
3	story	story	NOUN	Number=Sing	1 Trusting	obj
4	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	6 exciting	cop
5	most	most	ADV	Degree=Sup	6 exciting	advmod
6	exciting	exciting	ADJ	Degree=Pos	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	trust	gerund		whichever story					vn conjecture-29.5-1 «NP V NP»: agent=Agent story=Theme
2	is	present	Trusting					exciting property	tree rules

Option 4

Reading only the headline

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Reading	read	VERB	Tense=Pres VerbForm=Part	root	root
2	only	only	ADV	_	4 headline	advmod
3	the	the	DET	Definite=Def PronType=Art	4 headline	det
4	headline	headline	NOUN	Number=Sing	1 Reading	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	read	gerund		the headline					vn transfer_mesg-37.1.1-1 «NP V»: agent=Agent

Text: the tests of Mova's primary school, written for Mova (world/data/school/), as the course runner gave them to the student. Trees: Mova's own parse — the en model on the CPU, when the site is built — not checked by a teacher; they may be wrong. Frames: Mova's frames reader (prag), each text read on its own. Elamur Cosmic License.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/questions/everyday/335-fake-websites-fake-news-bots-skipping-class-surprises-and-trust/e2/