SlideShare a Scribd company logo
1 of 8
Brand Analytics
(с) 2014
SOCIOLOGICAL RESEARCHES IN
SOCIAL MEDIA
Public cases
Official forecast, published in media 3 days before the election, has matched the official election
results:
Forecast: Maduro - 50,7%, Capriles - 48,8%
Result: Maduro - 50,7%, Capriles - 49,1%
INERTIAL SCENARIO DYNAMIC SCENARIO
Analyzed 6 378 390 messages from 827 385 authors from Venezuela
FORECAST OF ELECTION RESULTS IN VENEZUELA
BASED ON MESSAGE ANALYSIS IN VENEZUELA’S SOCIAL MEDIA
Example of event results forecast
Forecast by Vox Populi using the Brand Analytics system (published on April 11th
, 2013, 3 days before the elections)
64%
43%
4%
51%
58%
70%
36%
57%
96%
49%
42%
30%
0% 20% 40% 60% 80% 100%
USA
Great Britain
Russia
France
Germany
Turkey
% of messages “Assad” % of messages “opposition”
Who is at fault: Assad or the opposition?
Analyzed 1 745 549 messages
from 605 484 authors from 241 countries
83%
84%
94%
90%
88%
64%
17%
16%
6%
10%
12%
36%
0% 20% 40% 60% 80% 100%
USA
Great Britain
Russia
France
Germany
Turkey
% of messages “against” % of messages “for”
Research by Vox Populi using the Brand Analytics system, September 29th
, 2013.
NATO MILITARY OPERATION AGAINST SYRIA
GLOBAL MONITORING OF PUBLIC OPINION IN SOCIAL MEDIA
Example of international research
Do the citizens support the attack on Syria?
Discussion activity by country
What is the NATO citizens attitude of the possible
attack on Syria?
Who is considered to be at fault in the situation:
Assad or the opposition?
USA. Official vs People
Discussion context
Opinion of Russia
Discussed topics USA. Official USA. People
Syria 65,2% 69,9%
LGBT 14,3% 11,6%
Lack of freedom 14,0% 0,6%
Putin’s Article in NYT 4,6% 7,2%
Olympics in Sochi 0,1% 1,1%
Other 1,8% 9,6%
49,7%
39,7%
10,8%
11,9%
39,6%
48,5%
0% 20% 40% 60% 80% 100%
USA. People
USA. Official
Positive Neutral Negative
ATTITUDE ABOUT RUSSIA
PUBLIC OPINION MONITORING IN THE USA SOCIAL MEDIA
Example of international research
Researched the statements of USA citizens
about Russia in social media.
The research had shown that the individual
opinion of people of Russia is mostly positive,
but at the same time the information from
official sources (media, news agencies,
officials) – is mostly negative.
Also, it is hard to overlook the difference in
accentuation of topics about Russia between
the official sources and the public.
Analyzed 288 070 messages from 79 714 authors from USA
Research by Vox Populi using the Brand Analytics system, September 9th
– 13th
, 2013.
Analyzed the Russian first-person mentions of affection and hate – positive (example: «I love», «adore»)
и негативные («I hate», «I am annoyed by…», etc.).
«Affection index» by Russian region
The «Affection Index» was calculated
For every Russian region - ratio of the
amount of messages about affection to the
amount of messages about hate.
Most positive regions:
• Altai republic (index of 4,1)
• Pskov oblast (index of 3,9)
• Republic of Karelia(3,7)
• Kostroma oblast (3,7)
Most negative:
• Nenets autonomous okrug(1,6)
• Chechen republic(1,6)
• Sakha republic (1,9)
• Republic of Dagestan (2,0)
• Saratov oblast(2,0)
«AFFECTION INDEX» BY RUSSIAN REGION
RESEARCH OF THE EMOTIONAL STATE OF SOCIAL MEDIA USERS
Example of regional research
Analyzed more than 65 million messages from 10 million authors
Research by Brand Analytics, June 1 – 7th
2013 г.
Most impactful topics – luxury tax and HCS tariffs.
Most successful answers – to the luxury tax question and about Gazprom.
HOTLINE WITH V.V. PUTIN
MONITORING OF SOCIAL OPINION DYNAMICS IN SOCIAL MEDIA
Example of operative sociology (real-time)
Thanks to the minute-by-minute monitoring it was possible to track the reaction to topics which were
discussed on the air and to identify the most impactful moments in the president’s dialogue with the
public.
Sentiment-change of comments dynamics depending on the topics discussed on the Hotline
Research by Vox Populi using the Brand Analytics system, April 25th
2013 г.
«ALL TOGETHER» EVENT
EVALUATION OF SOCIAL MEDIA AUDIENCE
Example of revealing the important problems and reputational risks
Opinion towards the charity marathon “All Together“ was researched in real-time mode.
Problem field:
Main reasons, that prevented people from
sending the sms:
• 1677 messages: reprimands towards the
mobile operators,who ,by the users opinion,
are receiving profit from all the sms sent during
the project.
• 776 messages: disapproval of the fact that the
population itself has to gather the funds (and
not dedicating the necessary amount of money
from the country’s budget).
• 512 messages: criticism towards the need to
pay the VAT for the collected funds.
Russians, you are dumb. Better help the people who suffered from
the flood in person. About 80 percent of the money are going into
the operator’s and government’s pockets #alltogether
Sent an sms to 4447. A very good event, as I support any
charity, but does the mobile operators really take a half of the
money collected this way?
@outcast73: Our state forgives billion-debts to everyone they
want, but we have to collect a relief fund to the Fare East
#alltogether. Pure genius!
Analyzed 37 679 messages from 24 721 authors
Research by Brand Analytics, September 29th
2013 г.
THANK YOU FOR YOUR ATTENTION
Brand Analytics
http://br-analytics.ru

More Related Content

Viewers also liked

Startups Celebrate - Build Your Own Movement To Promote Local Startups
Startups Celebrate - Build Your Own Movement To Promote Local StartupsStartups Celebrate - Build Your Own Movement To Promote Local Startups
Startups Celebrate - Build Your Own Movement To Promote Local StartupsPenelope Liot
 
Unikaj kłopotów! Prawo (i dobre obyczaje) publikowania w siec #LepszaEdukacja
Unikaj kłopotów!  Prawo (i dobre obyczaje) publikowania w siec #LepszaEdukacjaUnikaj kłopotów!  Prawo (i dobre obyczaje) publikowania w siec #LepszaEdukacja
Unikaj kłopotów! Prawo (i dobre obyczaje) publikowania w siec #LepszaEdukacjaKamil Śliwowski
 
Zippsi | Uzun Donem Arac Kiralama Platformu
Zippsi | Uzun Donem Arac Kiralama PlatformuZippsi | Uzun Donem Arac Kiralama Platformu
Zippsi | Uzun Donem Arac Kiralama PlatformuZippsi
 
Content marketing för e-handel - fördjupning
Content marketing för e-handel - fördjupningContent marketing för e-handel - fördjupning
Content marketing för e-handel - fördjupningChrister Pettersson
 
VC Evolution: Geeks Got Next
VC Evolution: Geeks Got NextVC Evolution: Geeks Got Next
VC Evolution: Geeks Got NextDave McClure
 
Statuses, and tweets, and yaks! OCPA 2015
Statuses, and tweets, and yaks! OCPA 2015Statuses, and tweets, and yaks! OCPA 2015
Statuses, and tweets, and yaks! OCPA 2015Shane Young
 
Content marketing för e-handel - attrahera ny trafik och nya kunder till din ...
Content marketing för e-handel - attrahera ny trafik och nya kunder till din ...Content marketing för e-handel - attrahera ny trafik och nya kunder till din ...
Content marketing för e-handel - attrahera ny trafik och nya kunder till din ...Christer Pettersson
 
The Happy At Work Manifesto
The Happy At Work ManifestoThe Happy At Work Manifesto
The Happy At Work Manifestojanenhenk
 
Social Media Rehab
Social Media RehabSocial Media Rehab
Social Media RehabDOBIEST
 
GeeksOnaPlane DC/EU 2009
GeeksOnaPlane DC/EU 2009GeeksOnaPlane DC/EU 2009
GeeksOnaPlane DC/EU 2009Dave McClure
 
Clever Copy for Happy Users STC Summit 2015
Clever Copy for Happy Users STC Summit 2015Clever Copy for Happy Users STC Summit 2015
Clever Copy for Happy Users STC Summit 2015laurentgc
 
SUP - Jeff’s Journey [so far] - [#VisualResume] - @jefftakushi
SUP - Jeff’s Journey [so far] - [#VisualResume] - @jefftakushiSUP - Jeff’s Journey [so far] - [#VisualResume] - @jefftakushi
SUP - Jeff’s Journey [so far] - [#VisualResume] - @jefftakushiEmpowered Presentations
 
A Segmentation Based Sequential Pattern Matching for Efficient Video Copy Det...
A Segmentation Based Sequential Pattern Matching for Efficient Video Copy Det...A Segmentation Based Sequential Pattern Matching for Efficient Video Copy Det...
A Segmentation Based Sequential Pattern Matching for Efficient Video Copy Det...Best Jobs
 
Old cars
Old carsOld cars
Old carsEllyJ
 
2steptosuccess
2steptosuccess2steptosuccess
2steptosuccesswattana072
 
Silicon Valley 2.0: Lots of Little Bets (Hong Kong, May 2013)
Silicon Valley 2.0: Lots of Little Bets (Hong Kong, May 2013)Silicon Valley 2.0: Lots of Little Bets (Hong Kong, May 2013)
Silicon Valley 2.0: Lots of Little Bets (Hong Kong, May 2013)Dave McClure
 
AYMANALSUHET CV 6 2016 9
AYMANALSUHET CV 6 2016 9AYMANALSUHET CV 6 2016 9
AYMANALSUHET CV 6 2016 9Ayman Alsuhet
 

Viewers also liked (20)

Startups Celebrate - Build Your Own Movement To Promote Local Startups
Startups Celebrate - Build Your Own Movement To Promote Local StartupsStartups Celebrate - Build Your Own Movement To Promote Local Startups
Startups Celebrate - Build Your Own Movement To Promote Local Startups
 
Unikaj kłopotów! Prawo (i dobre obyczaje) publikowania w siec #LepszaEdukacja
Unikaj kłopotów!  Prawo (i dobre obyczaje) publikowania w siec #LepszaEdukacjaUnikaj kłopotów!  Prawo (i dobre obyczaje) publikowania w siec #LepszaEdukacja
Unikaj kłopotów! Prawo (i dobre obyczaje) publikowania w siec #LepszaEdukacja
 
Zippsi | Uzun Donem Arac Kiralama Platformu
Zippsi | Uzun Donem Arac Kiralama PlatformuZippsi | Uzun Donem Arac Kiralama Platformu
Zippsi | Uzun Donem Arac Kiralama Platformu
 
Content marketing för e-handel - fördjupning
Content marketing för e-handel - fördjupningContent marketing för e-handel - fördjupning
Content marketing för e-handel - fördjupning
 
VC Evolution: Geeks Got Next
VC Evolution: Geeks Got NextVC Evolution: Geeks Got Next
VC Evolution: Geeks Got Next
 
INGO recommendation
INGO recommendationINGO recommendation
INGO recommendation
 
Statuses, and tweets, and yaks! OCPA 2015
Statuses, and tweets, and yaks! OCPA 2015Statuses, and tweets, and yaks! OCPA 2015
Statuses, and tweets, and yaks! OCPA 2015
 
Content marketing för e-handel - attrahera ny trafik och nya kunder till din ...
Content marketing för e-handel - attrahera ny trafik och nya kunder till din ...Content marketing för e-handel - attrahera ny trafik och nya kunder till din ...
Content marketing för e-handel - attrahera ny trafik och nya kunder till din ...
 
The Happy At Work Manifesto
The Happy At Work ManifestoThe Happy At Work Manifesto
The Happy At Work Manifesto
 
Social Media Rehab
Social Media RehabSocial Media Rehab
Social Media Rehab
 
GeeksOnaPlane DC/EU 2009
GeeksOnaPlane DC/EU 2009GeeksOnaPlane DC/EU 2009
GeeksOnaPlane DC/EU 2009
 
Рій "ЕКСТРИМ", ЗОШ №13
Рій "ЕКСТРИМ", ЗОШ №13Рій "ЕКСТРИМ", ЗОШ №13
Рій "ЕКСТРИМ", ЗОШ №13
 
Clever Copy for Happy Users STC Summit 2015
Clever Copy for Happy Users STC Summit 2015Clever Copy for Happy Users STC Summit 2015
Clever Copy for Happy Users STC Summit 2015
 
SUP - Jeff’s Journey [so far] - [#VisualResume] - @jefftakushi
SUP - Jeff’s Journey [so far] - [#VisualResume] - @jefftakushiSUP - Jeff’s Journey [so far] - [#VisualResume] - @jefftakushi
SUP - Jeff’s Journey [so far] - [#VisualResume] - @jefftakushi
 
1
11
1
 
A Segmentation Based Sequential Pattern Matching for Efficient Video Copy Det...
A Segmentation Based Sequential Pattern Matching for Efficient Video Copy Det...A Segmentation Based Sequential Pattern Matching for Efficient Video Copy Det...
A Segmentation Based Sequential Pattern Matching for Efficient Video Copy Det...
 
Old cars
Old carsOld cars
Old cars
 
2steptosuccess
2steptosuccess2steptosuccess
2steptosuccess
 
Silicon Valley 2.0: Lots of Little Bets (Hong Kong, May 2013)
Silicon Valley 2.0: Lots of Little Bets (Hong Kong, May 2013)Silicon Valley 2.0: Lots of Little Bets (Hong Kong, May 2013)
Silicon Valley 2.0: Lots of Little Bets (Hong Kong, May 2013)
 
AYMANALSUHET CV 6 2016 9
AYMANALSUHET CV 6 2016 9AYMANALSUHET CV 6 2016 9
AYMANALSUHET CV 6 2016 9
 

Similar to Sociological researches in social media. Cases

Social Media Potential in Forecasting Presidential Election Results in Poland...
Social Media Potential in Forecasting Presidential Election Results in Poland...Social Media Potential in Forecasting Presidential Election Results in Poland...
Social Media Potential in Forecasting Presidential Election Results in Poland...Pawel Kuczma
 
Social Media Content Analysis: Ossoff Threat Assessment 2017.05.03
Social Media Content Analysis: Ossoff Threat Assessment  2017.05.03Social Media Content Analysis: Ossoff Threat Assessment  2017.05.03
Social Media Content Analysis: Ossoff Threat Assessment 2017.05.03Alan Rosenblatt
 
Weapons of-mass-distraction-foreign-state-sponsored-disinformation-in-the-dig...
Weapons of-mass-distraction-foreign-state-sponsored-disinformation-in-the-dig...Weapons of-mass-distraction-foreign-state-sponsored-disinformation-in-the-dig...
Weapons of-mass-distraction-foreign-state-sponsored-disinformation-in-the-dig...archiejones4
 
Forecasting General Election Results in Poland 2011 on the Basis of Social Me...
Forecasting General Election Results in Poland 2011 on the Basis of Social Me...Forecasting General Election Results in Poland 2011 on the Basis of Social Me...
Forecasting General Election Results in Poland 2011 on the Basis of Social Me...Pawel Kuczma
 
Add a section to the paper you submittedIt is based on the paper (.docx
Add a section to the paper you submittedIt is based on the paper (.docxAdd a section to the paper you submittedIt is based on the paper (.docx
Add a section to the paper you submittedIt is based on the paper (.docxdaniahendric
 
Social Media: the good, the bad and the ugly
Social Media: the good, the bad and the uglySocial Media: the good, the bad and the ugly
Social Media: the good, the bad and the uglyJosh Cowls
 
Opposition to Russian Propaganda and Media Literacy: Results of All-Ukrainian...
Opposition to Russian Propaganda and Media Literacy: Results of All-Ukrainian...Opposition to Russian Propaganda and Media Literacy: Results of All-Ukrainian...
Opposition to Russian Propaganda and Media Literacy: Results of All-Ukrainian...DonbassFullAccess
 
Internews Annual Survey: Media Consumption in Ukraine 2016
Internews Annual Survey: Media Consumption in Ukraine 2016Internews Annual Survey: Media Consumption in Ukraine 2016
Internews Annual Survey: Media Consumption in Ukraine 2016DonbassFullAccess
 
USAID U-Media annual media consumption survey 2016 (ENG)
USAID U-Media annual media consumption survey 2016 (ENG)USAID U-Media annual media consumption survey 2016 (ENG)
USAID U-Media annual media consumption survey 2016 (ENG)Irina Negreyeva
 
Computational Social Science:The Collaborative Futures of Big Data, Computer ...
Computational Social Science:The Collaborative Futures of Big Data, Computer ...Computational Social Science:The Collaborative Futures of Big Data, Computer ...
Computational Social Science:The Collaborative Futures of Big Data, Computer ...Academia Sinica
 
Nonprobability report-may-2016-final
Nonprobability report-may-2016-finalNonprobability report-may-2016-final
Nonprobability report-may-2016-finalSUMEET VERMA
 
How opinion polls work
 How opinion polls work How opinion polls work
How opinion polls workInternewsKE
 
Fake news and the economy of emotions
Fake news and the economy of emotionsFake news and the economy of emotions
Fake news and the economy of emotionsVian Bakir
 
Online Petitioning Through Data Exploration and What We Found There: A Datase...
Online Petitioning Through Data Exploration and What We Found There: A Datase...Online Petitioning Through Data Exploration and What We Found There: A Datase...
Online Petitioning Through Data Exploration and What We Found There: A Datase...Pablo Aragón
 
Survey_Investigators_2010_Ukraine_Media
Survey_Investigators_2010_Ukraine_MediaSurvey_Investigators_2010_Ukraine_Media
Survey_Investigators_2010_Ukraine_MediaIrina Negreyeva
 
Manichean Progress: Positive and Negative States of the Art in Web-Scale Data...
Manichean Progress: Positive and Negative States of the Art in Web-Scale Data...Manichean Progress: Positive and Negative States of the Art in Web-Scale Data...
Manichean Progress: Positive and Negative States of the Art in Web-Scale Data...Lewis Shepherd
 
A Dream of Predicting Elections and Trading Stocks using Twitter - Yelena Mej...
A Dream of Predicting Elections and Trading Stocks using Twitter - Yelena Mej...A Dream of Predicting Elections and Trading Stocks using Twitter - Yelena Mej...
A Dream of Predicting Elections and Trading Stocks using Twitter - Yelena Mej...Yandex
 
Are Americans worried about the NSA?
Are Americans worried about the NSA? Are Americans worried about the NSA?
Are Americans worried about the NSA? AEI
 

Similar to Sociological researches in social media. Cases (20)

Social Media Potential in Forecasting Presidential Election Results in Poland...
Social Media Potential in Forecasting Presidential Election Results in Poland...Social Media Potential in Forecasting Presidential Election Results in Poland...
Social Media Potential in Forecasting Presidential Election Results in Poland...
 
Matthes_EPRA_2021.pdf
Matthes_EPRA_2021.pdfMatthes_EPRA_2021.pdf
Matthes_EPRA_2021.pdf
 
Social Media Content Analysis: Ossoff Threat Assessment 2017.05.03
Social Media Content Analysis: Ossoff Threat Assessment  2017.05.03Social Media Content Analysis: Ossoff Threat Assessment  2017.05.03
Social Media Content Analysis: Ossoff Threat Assessment 2017.05.03
 
Weapons of-mass-distraction-foreign-state-sponsored-disinformation-in-the-dig...
Weapons of-mass-distraction-foreign-state-sponsored-disinformation-in-the-dig...Weapons of-mass-distraction-foreign-state-sponsored-disinformation-in-the-dig...
Weapons of-mass-distraction-foreign-state-sponsored-disinformation-in-the-dig...
 
Forecasting General Election Results in Poland 2011 on the Basis of Social Me...
Forecasting General Election Results in Poland 2011 on the Basis of Social Me...Forecasting General Election Results in Poland 2011 on the Basis of Social Me...
Forecasting General Election Results in Poland 2011 on the Basis of Social Me...
 
Add a section to the paper you submittedIt is based on the paper (.docx
Add a section to the paper you submittedIt is based on the paper (.docxAdd a section to the paper you submittedIt is based on the paper (.docx
Add a section to the paper you submittedIt is based on the paper (.docx
 
Social Media: the good, the bad and the ugly
Social Media: the good, the bad and the uglySocial Media: the good, the bad and the ugly
Social Media: the good, the bad and the ugly
 
Opposition to Russian Propaganda and Media Literacy: Results of All-Ukrainian...
Opposition to Russian Propaganda and Media Literacy: Results of All-Ukrainian...Opposition to Russian Propaganda and Media Literacy: Results of All-Ukrainian...
Opposition to Russian Propaganda and Media Literacy: Results of All-Ukrainian...
 
Internews Annual Survey: Media Consumption in Ukraine 2016
Internews Annual Survey: Media Consumption in Ukraine 2016Internews Annual Survey: Media Consumption in Ukraine 2016
Internews Annual Survey: Media Consumption in Ukraine 2016
 
USAID U-Media annual media consumption survey 2016 (ENG)
USAID U-Media annual media consumption survey 2016 (ENG)USAID U-Media annual media consumption survey 2016 (ENG)
USAID U-Media annual media consumption survey 2016 (ENG)
 
Computational Social Science:The Collaborative Futures of Big Data, Computer ...
Computational Social Science:The Collaborative Futures of Big Data, Computer ...Computational Social Science:The Collaborative Futures of Big Data, Computer ...
Computational Social Science:The Collaborative Futures of Big Data, Computer ...
 
Nonprobability report-may-2016-final
Nonprobability report-may-2016-finalNonprobability report-may-2016-final
Nonprobability report-may-2016-final
 
How opinion polls work
 How opinion polls work How opinion polls work
How opinion polls work
 
Fake news and the economy of emotions
Fake news and the economy of emotionsFake news and the economy of emotions
Fake news and the economy of emotions
 
Online Petitioning Through Data Exploration and What We Found There: A Datase...
Online Petitioning Through Data Exploration and What We Found There: A Datase...Online Petitioning Through Data Exploration and What We Found There: A Datase...
Online Petitioning Through Data Exploration and What We Found There: A Datase...
 
Survey_Investigators_2010_Ukraine_Media
Survey_Investigators_2010_Ukraine_MediaSurvey_Investigators_2010_Ukraine_Media
Survey_Investigators_2010_Ukraine_Media
 
Manichean Progress: Positive and Negative States of the Art in Web-Scale Data...
Manichean Progress: Positive and Negative States of the Art in Web-Scale Data...Manichean Progress: Positive and Negative States of the Art in Web-Scale Data...
Manichean Progress: Positive and Negative States of the Art in Web-Scale Data...
 
A Dream of Predicting Elections and Trading Stocks using Twitter - Yelena Mej...
A Dream of Predicting Elections and Trading Stocks using Twitter - Yelena Mej...A Dream of Predicting Elections and Trading Stocks using Twitter - Yelena Mej...
A Dream of Predicting Elections and Trading Stocks using Twitter - Yelena Mej...
 
Pj 2018.09.25 media-attitudes
Pj 2018.09.25 media-attitudesPj 2018.09.25 media-attitudes
Pj 2018.09.25 media-attitudes
 
Are Americans worried about the NSA?
Are Americans worried about the NSA? Are Americans worried about the NSA?
Are Americans worried about the NSA?
 

More from Natalie Sokolova

Социальные сети в России, лето 2017
Социальные сети в России, лето 2017Социальные сети в России, лето 2017
Социальные сети в России, лето 2017Natalie Sokolova
 
Вы (жить) в тренде
Вы (жить) в трендеВы (жить) в тренде
Вы (жить) в трендеNatalie Sokolova
 
Социальные сети в России, осень 2016
Социальные сети в России, осень 2016Социальные сети в России, осень 2016
Социальные сети в России, осень 2016Natalie Sokolova
 
Социальные сети в России, февраль 2016
Социальные сети в России, февраль 2016Социальные сети в России, февраль 2016
Социальные сети в России, февраль 2016Natalie Sokolova
 
Аналитика соцмедиа: виды исследований для повышения эффективности продвижения...
Аналитика соцмедиа: виды исследований для повышения эффективности продвижения...Аналитика соцмедиа: виды исследований для повышения эффективности продвижения...
Аналитика соцмедиа: виды исследований для повышения эффективности продвижения...Natalie Sokolova
 
Метрики для анализа соцмедиа и способы решения типовых задач для PR
Метрики для анализа соцмедиа и способы решения типовых задач для PRМетрики для анализа соцмедиа и способы решения типовых задач для PR
Метрики для анализа соцмедиа и способы решения типовых задач для PRNatalie Sokolova
 
Социальные сети в Казахстане, зима 2015-2016
Социальные сети в Казахстане, зима  2015-2016Социальные сети в Казахстане, зима  2015-2016
Социальные сети в Казахстане, зима 2015-2016Natalie Sokolova
 
Социальные сети в России, зима 2015-2016
Социальные сети в России, зима 2015-2016Социальные сети в России, зима 2015-2016
Социальные сети в России, зима 2015-2016Natalie Sokolova
 
Социальные сети в Казахстане, весна 2015
Социальные сети в Казахстане, весна 2015Социальные сети в Казахстане, весна 2015
Социальные сети в Казахстане, весна 2015Natalie Sokolova
 
Социальные сети в Украине, весна 2015
Социальные сети в Украине, весна 2015Социальные сети в Украине, весна 2015
Социальные сети в Украине, весна 2015Natalie Sokolova
 
Социальные сети в России, весна 2015
Социальные сети в России, весна 2015Социальные сети в России, весна 2015
Социальные сети в России, весна 2015Natalie Sokolova
 
Ba social networks in russia4
Ba social networks in russia4Ba social networks in russia4
Ba social networks in russia4Natalie Sokolova
 
Социальные сети в России, зима 2014-2015
 Социальные сети в России, зима 2014-2015 Социальные сети в России, зима 2014-2015
Социальные сети в России, зима 2014-2015Natalie Sokolova
 
Альянс СМИ и социальных медиа - кейсы
Альянс СМИ и социальных медиа - кейсыАльянс СМИ и социальных медиа - кейсы
Альянс СМИ и социальных медиа - кейсыNatalie Sokolova
 
Социальные сети в России, лето 2014
Социальные сети в России, лето 2014Социальные сети в России, лето 2014
Социальные сети в России, лето 2014Natalie Sokolova
 
Портрет активных авторов социальной сети Одноклассники, апрель 2014
Портрет активных авторов социальной сети Одноклассники, апрель 2014Портрет активных авторов социальной сети Одноклассники, апрель 2014
Портрет активных авторов социальной сети Одноклассники, апрель 2014Natalie Sokolova
 
Социологические исследования в социальных медиа. Кейсы.
Социологические исследования в социальных медиа. Кейсы.Социологические исследования в социальных медиа. Кейсы.
Социологические исследования в социальных медиа. Кейсы.Natalie Sokolova
 
Трансформация угроз в информационным пространстве: от технологических к социа...
Трансформация угроз в информационным пространстве: от технологических к социа...Трансформация угроз в информационным пространстве: от технологических к социа...
Трансформация угроз в информационным пространстве: от технологических к социа...Natalie Sokolova
 

More from Natalie Sokolova (20)

Социальные сети в России, лето 2017
Социальные сети в России, лето 2017Социальные сети в России, лето 2017
Социальные сети в России, лето 2017
 
Вы (жить) в тренде
Вы (жить) в трендеВы (жить) в тренде
Вы (жить) в тренде
 
Социальные сети в России, осень 2016
Социальные сети в России, осень 2016Социальные сети в России, осень 2016
Социальные сети в России, осень 2016
 
Социальные сети в России, февраль 2016
Социальные сети в России, февраль 2016Социальные сети в России, февраль 2016
Социальные сети в России, февраль 2016
 
Аналитика соцмедиа: виды исследований для повышения эффективности продвижения...
Аналитика соцмедиа: виды исследований для повышения эффективности продвижения...Аналитика соцмедиа: виды исследований для повышения эффективности продвижения...
Аналитика соцмедиа: виды исследований для повышения эффективности продвижения...
 
Метрики для анализа соцмедиа и способы решения типовых задач для PR
Метрики для анализа соцмедиа и способы решения типовых задач для PRМетрики для анализа соцмедиа и способы решения типовых задач для PR
Метрики для анализа соцмедиа и способы решения типовых задач для PR
 
Социальные сети в Казахстане, зима 2015-2016
Социальные сети в Казахстане, зима  2015-2016Социальные сети в Казахстане, зима  2015-2016
Социальные сети в Казахстане, зима 2015-2016
 
Социальные сети в России, зима 2015-2016
Социальные сети в России, зима 2015-2016Социальные сети в России, зима 2015-2016
Социальные сети в России, зима 2015-2016
 
Социальные сети в Казахстане, весна 2015
Социальные сети в Казахстане, весна 2015Социальные сети в Казахстане, весна 2015
Социальные сети в Казахстане, весна 2015
 
Социальные сети в Украине, весна 2015
Социальные сети в Украине, весна 2015Социальные сети в Украине, весна 2015
Социальные сети в Украине, весна 2015
 
Социальные сети в России, весна 2015
Социальные сети в России, весна 2015Социальные сети в России, весна 2015
Социальные сети в России, весна 2015
 
Ba social networks in russia4
Ba social networks in russia4Ba social networks in russia4
Ba social networks in russia4
 
Социальные сети в России, зима 2014-2015
 Социальные сети в России, зима 2014-2015 Социальные сети в России, зима 2014-2015
Социальные сети в России, зима 2014-2015
 
Альянс СМИ и социальных медиа - кейсы
Альянс СМИ и социальных медиа - кейсыАльянс СМИ и социальных медиа - кейсы
Альянс СМИ и социальных медиа - кейсы
 
Социальные сети в России, лето 2014
Социальные сети в России, лето 2014Социальные сети в России, лето 2014
Социальные сети в России, лето 2014
 
Brand Analytics
Brand AnalyticsBrand Analytics
Brand Analytics
 
Brand Analytics
Brand AnalyticsBrand Analytics
Brand Analytics
 
Портрет активных авторов социальной сети Одноклассники, апрель 2014
Портрет активных авторов социальной сети Одноклассники, апрель 2014Портрет активных авторов социальной сети Одноклассники, апрель 2014
Портрет активных авторов социальной сети Одноклассники, апрель 2014
 
Социологические исследования в социальных медиа. Кейсы.
Социологические исследования в социальных медиа. Кейсы.Социологические исследования в социальных медиа. Кейсы.
Социологические исследования в социальных медиа. Кейсы.
 
Трансформация угроз в информационным пространстве: от технологических к социа...
Трансформация угроз в информационным пространстве: от технологических к социа...Трансформация угроз в информационным пространстве: от технологических к социа...
Трансформация угроз в информационным пространстве: от технологических к социа...
 

Recently uploaded

CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 

Recently uploaded (20)

CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 

Sociological researches in social media. Cases

  • 1. Brand Analytics (с) 2014 SOCIOLOGICAL RESEARCHES IN SOCIAL MEDIA Public cases
  • 2. Official forecast, published in media 3 days before the election, has matched the official election results: Forecast: Maduro - 50,7%, Capriles - 48,8% Result: Maduro - 50,7%, Capriles - 49,1% INERTIAL SCENARIO DYNAMIC SCENARIO Analyzed 6 378 390 messages from 827 385 authors from Venezuela FORECAST OF ELECTION RESULTS IN VENEZUELA BASED ON MESSAGE ANALYSIS IN VENEZUELA’S SOCIAL MEDIA Example of event results forecast Forecast by Vox Populi using the Brand Analytics system (published on April 11th , 2013, 3 days before the elections)
  • 3. 64% 43% 4% 51% 58% 70% 36% 57% 96% 49% 42% 30% 0% 20% 40% 60% 80% 100% USA Great Britain Russia France Germany Turkey % of messages “Assad” % of messages “opposition” Who is at fault: Assad or the opposition? Analyzed 1 745 549 messages from 605 484 authors from 241 countries 83% 84% 94% 90% 88% 64% 17% 16% 6% 10% 12% 36% 0% 20% 40% 60% 80% 100% USA Great Britain Russia France Germany Turkey % of messages “against” % of messages “for” Research by Vox Populi using the Brand Analytics system, September 29th , 2013. NATO MILITARY OPERATION AGAINST SYRIA GLOBAL MONITORING OF PUBLIC OPINION IN SOCIAL MEDIA Example of international research Do the citizens support the attack on Syria? Discussion activity by country What is the NATO citizens attitude of the possible attack on Syria? Who is considered to be at fault in the situation: Assad or the opposition?
  • 4. USA. Official vs People Discussion context Opinion of Russia Discussed topics USA. Official USA. People Syria 65,2% 69,9% LGBT 14,3% 11,6% Lack of freedom 14,0% 0,6% Putin’s Article in NYT 4,6% 7,2% Olympics in Sochi 0,1% 1,1% Other 1,8% 9,6% 49,7% 39,7% 10,8% 11,9% 39,6% 48,5% 0% 20% 40% 60% 80% 100% USA. People USA. Official Positive Neutral Negative ATTITUDE ABOUT RUSSIA PUBLIC OPINION MONITORING IN THE USA SOCIAL MEDIA Example of international research Researched the statements of USA citizens about Russia in social media. The research had shown that the individual opinion of people of Russia is mostly positive, but at the same time the information from official sources (media, news agencies, officials) – is mostly negative. Also, it is hard to overlook the difference in accentuation of topics about Russia between the official sources and the public. Analyzed 288 070 messages from 79 714 authors from USA Research by Vox Populi using the Brand Analytics system, September 9th – 13th , 2013.
  • 5. Analyzed the Russian first-person mentions of affection and hate – positive (example: «I love», «adore») и негативные («I hate», «I am annoyed by…», etc.). «Affection index» by Russian region The «Affection Index» was calculated For every Russian region - ratio of the amount of messages about affection to the amount of messages about hate. Most positive regions: • Altai republic (index of 4,1) • Pskov oblast (index of 3,9) • Republic of Karelia(3,7) • Kostroma oblast (3,7) Most negative: • Nenets autonomous okrug(1,6) • Chechen republic(1,6) • Sakha republic (1,9) • Republic of Dagestan (2,0) • Saratov oblast(2,0) «AFFECTION INDEX» BY RUSSIAN REGION RESEARCH OF THE EMOTIONAL STATE OF SOCIAL MEDIA USERS Example of regional research Analyzed more than 65 million messages from 10 million authors Research by Brand Analytics, June 1 – 7th 2013 г.
  • 6. Most impactful topics – luxury tax and HCS tariffs. Most successful answers – to the luxury tax question and about Gazprom. HOTLINE WITH V.V. PUTIN MONITORING OF SOCIAL OPINION DYNAMICS IN SOCIAL MEDIA Example of operative sociology (real-time) Thanks to the minute-by-minute monitoring it was possible to track the reaction to topics which were discussed on the air and to identify the most impactful moments in the president’s dialogue with the public. Sentiment-change of comments dynamics depending on the topics discussed on the Hotline Research by Vox Populi using the Brand Analytics system, April 25th 2013 г.
  • 7. «ALL TOGETHER» EVENT EVALUATION OF SOCIAL MEDIA AUDIENCE Example of revealing the important problems and reputational risks Opinion towards the charity marathon “All Together“ was researched in real-time mode. Problem field: Main reasons, that prevented people from sending the sms: • 1677 messages: reprimands towards the mobile operators,who ,by the users opinion, are receiving profit from all the sms sent during the project. • 776 messages: disapproval of the fact that the population itself has to gather the funds (and not dedicating the necessary amount of money from the country’s budget). • 512 messages: criticism towards the need to pay the VAT for the collected funds. Russians, you are dumb. Better help the people who suffered from the flood in person. About 80 percent of the money are going into the operator’s and government’s pockets #alltogether Sent an sms to 4447. A very good event, as I support any charity, but does the mobile operators really take a half of the money collected this way? @outcast73: Our state forgives billion-debts to everyone they want, but we have to collect a relief fund to the Fare East #alltogether. Pure genius! Analyzed 37 679 messages from 24 721 authors Research by Brand Analytics, September 29th 2013 г.
  • 8. THANK YOU FOR YOUR ATTENTION Brand Analytics http://br-analytics.ru