Big data comes from many sources and is used in elections to analyze voter data and predict outcomes. Political parties gather large amounts of structured and unstructured data from social media, websites, and other online sources to build personalized voter profiles. They then use data mining algorithms and analytics to develop targeted campaign messages and strategies aimed at influencing different voter groups. While big data provides opportunities to better understand voters, it also raises privacy concerns if personal data is collected and shared without permission.

1. THE ROLE OF BIG DATA IN ELECTIONS
PRESENTED BY-
VISHAL CHAUHAN (213109020033)
MCA 2ND YEAR
M.J.P ROHILKHAND UNIVERSITY,
BAREILLY

2. BIG DATA…WHAT IS IT?
Large data sets that include but not limited to:
• Consumer history
• Financial history
• Call centers
• Point-of-sale
• Social networks
• Web Traffic/Patterns
• Jet Engines

3. TYPES OF BIG DATA
1. Structured data
2. Unstructured data
3. Semi-structured data

4. MEDIA
• Social Networks (Twitter, Facebook, Google, LinkedIn,
Youtube)
• Data Sharing (Photo, Video, etc…)
• Wikipedia
• Blogs
• Podcasts

5. THE DIFFERENT SOURCES RESPONSIBLE FOR
GENERATION OF BIG DATA

6. THE AMOUNT OF DATA GENERATED BY SOME
PROMINENT AGENCIES AND ORGANIZATIONS
EVERY 24 HOURS
Where
1PB = 1000 TB

7. HOW WE PROCESS THE DATA ?
These are tools which we used in data gathering
process…
• Unstructured data handled by Apache Hadoop
Framework and Big data Analytics.
• Structured data handled by Sql Server, Oracle,
Pandas data frame and more database.
• Graph plotting handled by Tableau or Matplotlib
(Python library).

8. INDIAN & SOCIAL MEDIA
• Indian use twitter more than any other demographic
group.
• Politics and Government
• Advertisement
• The youth of this generation is highly invested in
politics and the ideas associated with it.
• Indian political parties are utilizing the internet and
social media to connect with youth for their agenda
and political events.

9. DATA MINING IN ELECTIONS
• Specific algorithms are designed to analyze collected
data on voters to predict
– Election outcomes
– Advertising tactics to promote voter support and
participation (online, door-to-door, phone, mail).
• Looking at voters as distinct individuals and by default as
part of a larger group.
• Personalized Profiles = Personalized Messages
• Taking Raw data and making it make sense.

10. BIG DATA FROM ELECTIONS PERSPECTIVE
• The election campaign committee understand the voters
better and adapt their policies to their sentiments the
versatility of analytics platforms.
• Big data analytics is the “Trump Card” most organisations
and movements have when planning election strategies.
• The prediction based on Facebook Likes was less accurate
than using traditional polling on whether a candidate
would be elected.

11. BIG DATA CONCERNS
• Big data also includes the sometimes unethical
gathering and merging of personal information.
• Major invasion of privacy without explicit
permission.
• Selling data on preferences (i.e behaviors survey,
houses, businesses, even universities).
• Software that codifies internet
comments/tweets/activities into a psychological/
emotional/political profile.

12. 2019 Elections, PM Modi & Big Data
• Targeted Messaging (online/text)
• Volunteer App
• Combining Traditional Phone Interviews w/ New
Data Forms to develop algorithms

13. RUNNING A DATA DRIVEN CAMPAIGN
• Linking everything and mind the data
• In the past, they needed cellphone and email addresses.
– NOW they have de-emphasized the traditional poll and
realized the increased mobility of younger tech savvy
generations
• TV ads are broad and most of the population does not
want commercials
– Hard telephone lines are basically dead.
– People under the age of 35 do not have hard lines...

14. CONCLUSION
• Currently, Data Mining is easy to use and it is not that
expensive. A small team of organization can also combine
and analyses the data and perform there task.
• The way BJP has used data in the last 2 elections, now in
the coming times all the political parties will work in
different fields at small level and high scale.
• These data can be used not only in political perspective
this idea can be used in multiple field to acquire better
solution.