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Break up or not

Date post: 21-Jun-2015
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Key Terms… Break up or not? spouse: esposo(a) break up: separar claiming to have: alegando ter accurately : precisamente in danger: em perigo sets: grupos Close friends: Amigos íntimos embeddedness: “incorporado/embutido”-tude buddies: amigos kickball league: kickball liga Relatives: Parentes the most overall accurate metric: o mais preciso métrico de todos Facebook researchers are trying to predict when you and your spouse will break up A Cornell professor and a senior Facebook engineer are claiming to have developed a Facebook algorithm that can accurately identify who you’re dating and, especially for new relationships, whether you’re in danger of breaking up. The algorithm depends on a new metric the researchers are calling “disperson,” which looks at connections between people who have different sets of friends. Close friends are likely to share a lot of friends in common, which social scientists call “embeddedness.” But people in romantic relationships tend to connect each other to different spheres: for example, a husband is likely to introduce his wife to his work friends, college buddies, and members of his kickball league, with whom she may not have any other connections in common. Relatives may also show this same “dispersion” dynamic, the researchers say. Dispersion turned out to be the most overall accurate metric
Transcript
Page 1: Break up or not

Key Terms…

Break up or not?

spouse: esposo(a)

break up: separar↲

claiming to have: alegando

ter

accurately: precisamente↲

in danger: em perigo

sets: grupos↲

Close friends: Amigos

íntimos

embeddedness:

“incorporado/embutido”-tude

buddies: amigos↲

kickball league: kickball liga↲

Relatives: Parentes

the most overall accurate

metric: o mais preciso

métrico de todos

Facebook researchers are trying to

predict when you and your spouse

will break up

A Cornell professor and a senior Facebook engineer are

claiming to have developed a Facebook algorithm

that can accurately identify who you’re dating and,

especially for new relationships, whether you’re in

danger of breaking up.

The algorithm depends on a new metric the researchers

are calling “disperson,” which looks at connections

between people who have different sets of friends.

Close friends are likely to share a lot of friends in

common, which social scientists call “embeddedness.”

But people in romantic relationships tend to connect

each other to different spheres: for example, a husband

is likely to introduce his wife to his work friends, college

buddies, and members of his kickball league, with

whom she may not have any other connections in

common.

Relatives may also show this same “dispersion”

dynamic, the researchers say.

Dispersion turned out to be the most overall

accurate metric

Page 2: Break up or not

dating: namorando com↲

accuracy: exatidão, precisão

random guessing:

adivinhação aleatória

couples: casais

such as: tal como

attendance: presença

turned out to be: acabou

sendo

effort: esforço

crunch: calcular↲

meaningful: significativo

marketers: comerciantes

would fail: fracassaria

fake relationships:

relacionamentos falsos

joke: piada

declaring themselves:

declarando-se

engaged: noivado

hook up with: “ficar com”↲

spokesperson: porta-voz

The researchers were able to identify who was dating

whom with 60 percent accuracy, much better than the

2 percent accuracy they’d get from random guessing.

High dispersion also seems to be correlated with longer

relationships. The study found that couples were 50

percent more likely to break up in the next two months

if the dispersion algorithm failed to guess that they were

dating.

The scientists also looked at metrics such as how many

times a user viewed another’s profile, attendance at

the same events, and messages sent. Dispersion turned

out to be the most overall accurate metric for

determining romantic relationships. The researchers

used multiple sets of anonymous data, including a large

data set from 1.3 million Facebook users.

The study shows the enormous effort being made to

crunch Facebook data into something meaningful for

marketers. However, it’s easy to see where the

algorithm would fail. For example, many Facebook

users list fake relationships as a joke, declaring

themselves to be “married” or “engaged” to their

best friends. The method also assumes that you, all your

friends, your spouse, and all your spouse’s friends are

active on Facebook.

Of course, this is nothing new. Remember when Mark

Zuckerberg wanted to predict who you would hook up

with

Update, 6:05PM: A Facebook spokesperson sent a

Page 3: Break up or not

break up separar

The discontinuance of a relationship, as a marriage or a friendship.

She broke up with her boyfriend last week.

Tom and Mary might break up. ↔

Tom e Mary poderiam terminar.

I don’t want to break up with you. ↔

Eu não quero romper com você.

claiming to have alegando ter

O caminho que une Montegrande com Cochiguaz, em algum momento foi o

centro das comunidades esotéricas que afirmavam ter contato com

extraterrestres. ↔

A road runs between Montegrande and Cochiguaz, a one-time center for

paranormal communities claiming to have contacted extraterrestrials.

accurately precisamente

My watch is very accurate. ↔

O meu relógio é muito preciso.

I don’t remember my father’s face accurately. ↔

Não lembro com exatidão a cara de meu pai.

sets grupos

statement: declaração

findings: resultados

currently: atualmente

features: recursos,

ferramentas

ranking: classificação (em

termos de importância)

statement about the study: “The specific findings

from this study are not currently being used in making

News Feed a better product. It has helped the team

think about things and informed some of the features

we use in ranking, but we are not using the specifics in

the paper.”

Read More Here…

Page 4: Break up or not

a group of people who associate together, esp a clique

buddies amigos

A good friend; a comrade.

kickball league kickball liga

dating namorando com

After eight months, he eventually started dating girls again. ↔

Depois de oito meses, ele finalmente recomeçou a ter encontros com

meninas.

turned out to be acabou sendo

It turned out to be true. ↔

Confirmou-se.

What he said turned out to be true. ↔

O que ele disse acabou virando verdade.

Accidentally, the rumor has turned out to be false. ↔

Por acaso, ficou evidente que o boato era falso.

crunch calcular

“Crunch” is similar to “bite”. However, the phrase “crunching numbers/data” is

used to mean working with lots of data, making sense of the information,

calculating things based on the data, etc.

hook up with “ficar com”

Page 5: Break up or not

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