--- title: Identify the term for the presentation of two positions as equally s… — Algorithms, bubbles and false balance · tree and pragmatics description: Identify the term for the presentation of two positions as equally supported where the evidence is predominantly on one side. Exam question 2 of lesson 34 «Algorithms, bubbles and false balance» of the politics course of Mova's primary school, with the dependency tree and pragmatics of the question --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/politics/34-algorithms-bubbles-and-false-balance/e2/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [Politics](https://md.mova.elamur.ai/free/en/corpora/questions/politics/) / [Algorithms, bubbles and false balance](https://md.mova.elamur.ai/free/en/corpora/questions/politics/34-algorithms-bubbles-and-false-balance/) / e2 # Exam question 2 · Algorithms, bubbles and false balance Identify the term for the presentation of two positions as equally supported where the evidence is predominantly on one side. **Mova's choice:** option 4 · **The right answer:** option 4 · right ✓ · **Who acts:** you, evidence · **What happens:** identify, support, be, present · **To what, where:** term, two positions, one side This is exam question 2 of lesson 34 «Algorithms, bubbles and false balance» of the politics 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](https://md.mova.elamur.ai/free/en/school-run/politics/34-algorithms-bubbles-and-false-balance/#e2). ## The question {#question} ```conllu # sent_id = question:politics:34-algorithms-bubbles-and-false-balance:e2:1 # text = Identify the term for the presentation of two positions as equally supported where the evidence is predominantly on one side. 1 Identify identify VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 the the DET DT Definite=Def|PronType=Art 3 det _ _ 3 term term NOUN NN Number=Sing 1 obj _ _ 4 for for ADP IN _ 6 case _ _ 5 the the DET DT Definite=Def|PronType=Art 6 det _ _ 6 presentation presentation NOUN NN Number=Sing 1 obl _ _ 7 of of ADP IN _ 9 case _ _ 8 two two NUM CD NumForm=Word|NumType=Card 9 nummod _ _ 9 positions position NOUN NNS Number=Plur 6 nmod _ _ 10 as as ADV RB _ 12 advmod _ _ 11 equally equally ADV RB _ 12 advmod _ _ 12 supported support VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 9 acl _ _ 13 where where ADV WRB PronType=Rel 20 advmod _ _ 14 the the DET DT Definite=Def|PronType=Art 15 det _ _ 15 evidence evidence NOUN NN Number=Sing 20 nsubj _ _ 16 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 20 cop _ _ 17 predominantly predominantly ADV RB _ 20 advmod _ _ 18 on on ADP IN _ 20 case _ _ 19 one one NUM CD NumForm=Word|NumType=Card 20 nummod _ _ 20 side side NOUN NN Number=Sing 12 obl _ SpaceAfter=No 21 . . PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **identify** | imperative | you *not said here* | the term | | | | for the presentation of two positions | vn characterize-29.2-1-1 «NP V NP S\_ING»: agent=Agent term=Theme | | 2 | **support** | participle | | two positions *not said here* | | | | equally *property* | vn admire-31.2 «NP V that S»: agent=Experiencer | | 3 | **is** | present | the evidence | | | one side | | predominantly *property* | tree rules | | 4 | **present** | | | two positions | | | | | nom presentation «act 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. ## The options {#options} ### Option 1 {#o1} Satire ```conllu # sent_id = question:politics:34-algorithms-bubbles-and-false-balance:e2:o1:1 # text = Satire 1 Satire satire NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} A correction ```conllu # sent_id = question:politics:34-algorithms-bubbles-and-false-balance:e2:o2:1 # text = A correction 1 A a DET DT Definite=Ind|PronType=Art 2 det _ _ 2 correction correction NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} Astroturfing ```conllu # sent_id = question:politics:34-algorithms-bubbles-and-false-balance:e2:o3:1 # text = Astroturfing 1 Astroturfing Astroturfing PROPN NNP Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 · ← Mova's choice · ✓ the right answer {#o4} False balance ```conllu # sent_id = question:politics:34-algorithms-bubbles-and-false-balance:e2:o4:1 # text = False balance 1 False false ADJ JJ Degree=Pos 2 amod _ _ 2 balance balance NOUN NN Number=Sing 0 root _ _ ``` The frames reader finds no event or fact in this sentence. **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. - ← previous: [Algorithms, bubbles and false balance, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/politics/34-algorithms-bubbles-and-false-balance/e1/) - next →: [Algorithms, bubbles and false balance, exam 3](https://md.mova.elamur.ai/free/en/corpora/questions/politics/34-algorithms-bubbles-and-false-balance/e3/) - ↑ back to [Algorithms, bubbles and false balance](https://md.mova.elamur.ai/free/en/corpora/questions/politics/34-algorithms-bubbles-and-false-balance/)