Machine Learning in Political Campaigns: The advent of advanced technology in Machine Learning has made it easy for politicians to run their political campaigns most effectively. Historically, politicians had limited tools and resources to collect voters’ behavioral data and gauge their sentiment to plan political campaigns accordingly.
Usually, in earlier times, politicians used to rely heavily on instincts rather than on analytical insights while contesting for elections. The evolution and rise of Big Data and its practical application have entirely changed how political campaigns are planned nowadays. In the year 2008, social media data was heavily analyzed and used in the US presidential election to coordinate with volunteers and improve fundraising efforts swiftly.
The time is now to revolutionize the process of election campaigns through digital transformation. This can be achieved with the proper integration of Artificial Intelligence (AI) in political campaigns along-with other strategic tools.
Machine Learning in Political Campaigns
Machine Learning and Artificial Intelligence are used in political campaigns to engage the voters’ community and keep them aware of the latest political developments and issues of the nation.
The digital algorithms in machine learning are smart enough to identify the data patterns based on technical and statistical approaches. It is only after analyzing the voters’ online behavior over social media and other channels; the behavioral and psychographic user profiles can be created.
This will help in targeting the voters with targeted Ads according to their respective interests and preference. Automated Bots in the form of digital robots along-with smart algorithms also help in disseminating the information to the mass.
Bots are robotic programs that are programmed to perform respective tasks over the digital world. Bots also help in warning voters about fake news and misinformation. All these processes help build the trust of voters, who then vote accordingly for the respective party or a candidate.
Using Deep-Learning Algorithms for Understanding Characteristics of Social Media User Sentiment
Let’s say if someone texts you a sarcastic or ironic comment without using an emoticon or emoji, will you be able to understand the message as it was intended? It will become difficult for you to figure out from the text whether the person is angry, happy, or neutral.
This is the reason psychological and people’s behavioral analysis has emerged as a diverse and interesting field. In a way, sentiment analysis is also referred to as opinion mining that involves identifying and categorizing respective text pieces as neutral, positive, or negative.
As mentioned, it is tough to detect the sarcastic viewpoint of a message through sentiment analysis. However, there is 3 machine learning categorical algorithms that are significantly used for social media listening sentiment analysis:
- Support Vector Machines (SVMs)
- Decision Trees
Every classified category has its own pros and cons. Nevertheless, many studies have found the Naïve-Bayes classifier to be the most precise and accurate among the three. Meanwhile, 2 prime algorithms are used within a lexicon-based methodology:
The most effective and accurate method is the combination of both classifications. Nevertheless, let’s proceed with the widely used and popular machine learning algorithms: the Naive-Bayes algorithm.
Political Campaigns Effectively Using Chatbots and AI with Machine Learning Algorithms
Political campaigns are similar to Amazon’s business principles wherein goods are ordered, dispatched through several channels, and on the other hand, customers provide required information and pay money accordingly.
This is exactly the system followed in politics wherein the respective candidate dispatches promise, assurance and support to voters in return for their votes and campaign efforts.
The rise and expansion of the digital world have virtually created the stage for candidates and parties to strategize political campaign to engage voters in the exact Amazon do for its buyers.
Parties and candidates must ideate their political campaigns as Amazon that uses AI-driven recommendations along-with prime add-ons and modern delivery systems to stay on the top of the competition.
Technological advancements like this that are transforming businesses are also going to change the way political campaigns are done for lead generation and voter engagement.
It is to note that the concept and use of Chatbot in political campaigns is a matter of debate as of now. These chatbots are artificial elements that primarily use highly complex algorithms to replicate human behavior and intellect in some cases.
Chatbots on a larger scale are used to run automated social media propaganda and PR campaigns. These Bots are such human inaction that their chrematistics as robotic bots is difficult to understand.
According to research, it was found that one-fifth of the overall tweets were from bots concerning the 2016 Presidential election. The AI technological system is surely going to impact political campaigns hugely in the coming years.
Machine Learning Being Used in Politics
Machine Learning is used in politics primarily to target a specific group of voters based on psychographic and demographic determinants and engage them accordingly.
Through the proper implementation of Machine Learning, exact geographies can be identified for political rallies and campaigns and increase the chances of reaching the targeted voters.
This will also help a candidate and parties to win the votes cost-effectively. The technology of Machine Learning helps in understanding voters’ behavioral patterns over channels like social media. It allows candidates and parties to create perfect user-profiles and target them to win votes.
In the modern era of politics, Artificial Intelligence (AI) and Machine Learning have a big role to play. These technological tools are highly effective and should be taken into consideration while planning political campaigns.
In the coming years, parties and candidates contesting elections will use these tools in a broader sense to win elections across the world. It is to note that political parties must leverage the power of AI in an ethical way of campaigning.
AI should be used to spread the right and authentic information rather than spreading fake news for the nation’s progress and democratic vows.
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