by Sentimenti Team | Nov 22, 2022 | Categorising comments, Market research, SentiBrand
As a strategic global partner of Statista®, we regularly study industries. We publish the results in the form of periodic reports or as requested by the client. They are of great interest among the surveyed companies, as well as their customers.
We have prepared a commercial report analyzing the intensity of emotions evoked among service users by the activities of Polish mobile operators in the period from January 2022.
What you will learn from the report:
- how my company compares to the competition,
- which services cause the most irritation and anger,
- which services your customers love,
- analysis of specific comments for each emotion.
Who was written about the most
The study examined more than 250,000 Polish-language comments and opinions found on the profiles of Play, Orange, T-Mobile, Plus, Nju Mobile, Lajt Mobile, Mobile Vikings and Virgin Mobile. They were posted on Facebook from January 2022.
For starters – the sentiment
The chart shows the differences in the intensity of negative sentiment, positive sentiment and emotional arousal of an operator compared to the other seven companies. In other words, for example, the negative sentiment around operator 1 was 52% higher than the average sentiment measured for the other seven operators combined.
In this presentation, operators’ data have been anonymized (full data are available in the commercial report).
Emotions are more important
The chart shows the differences in the intensities of the selected four emotions in the discussion on a given company’s profile compared to the other seven. That is, similar to sentiment, for example, the intensity of the emotion of anger measured for operator 1 was 39% higher than the average intensity of this emotion measured for the other seven operators combined.
In this presentation, operators’ data have been anonymized (full data are available in the commercial report).
What else you can find in the report
The analyses indicated above are only a small part of the report. It further includes:
- analysis of the total number of mentions,
- analysis of the average intensity of sentiment and arousal for each operator,
- analysis of the average intensity of basic emotions for each operator,
- an analysis of mentions broken down into operator comments and Internet user comments,
- analysis of sentiment and arousal for operator and Internet user comments,
- analysis of contexts and themes in opinion content by emotion (e.g., anger and joy), separately for each operator.
- the most prominent comments in terms of stimulated emotions.
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Use our information to improve communication with your customers and improve your service. We can update reports at any set period (even daily).
Our analysts will help you interpret the data so that you get the most out of the information that is important to you and your company…. Get back to us!
by Damian Grimling | Oct 7, 2022 | Sentistocks
Credit Suisse’s stock price has been on the decline for many months. Confusion over the bank’s financial condition is growing. There are further reports in the media about the potential insolvency of the institution, which is the second largest Swiss bank. Could its share price have been predicted? Yes – thanks to artificial intelligence.
Safe as a Swiss bank. Credit Suisse CDS price is a real trouble
Credit Suisse’s stock price has been on the decline for many months. As Sentimenti deals with, among other things, predicting the prices of financial instruments or cryptocurrencies, we decided to take a look at the atmosphere and mood on the web around Credit Suisse.
The analysis looked at the level of intensity of emotion and emotional arousal among authors of online opinions and comments, which were written in English and German. That’s a total of more than 40,000 mentions from May to September 2022, which our artificial intelligence looked at. The results are surprising.
It was not surprising to find a high level of intensity of emotions generally understood as negative emotions somewhat related to uncertainty (fear and sadness) or neutral emotions (surprise and anticipation). However, it was a big surprise to find an increasing level of intensity of emotions conceived as positive (trust and joy).
A detailed analysis of the content of the entries showed that the entries characterized by a high intensity of these favorable emotions are those expressing – generally speaking – satisfaction with Credit Suisse’s troubles. This state of affairs significantly affected the level of the correlation index of the intensity of emotions and the bank’s stock price.
The study of emotion diads (which form according to Pluchik’s theory) also leads to interesting observations, including showing how market attitudes changed. Thus, emotions correlated most strongly with Credit Suisse stock prices:
in May of expectation and trust – forming a diad of fatalism;
in June and July of fear and sadness – forming a diad of despair;
in August expectation and sadness – forming a diad of pessimism;
in September of expectation and disgust – forming a diad of cynicism.
Using Pearson correlation coefficient analysis, the interaction between stock prices and the intensity of emotion around Credit Suisse on the Internet was examined.
Credit Suisse problems. Are we in for a repeat of Lehman Brothers?
The analysis showed that there was a rare case where all emotions (including those considered positive) correlated negatively with Credit Suisse share prices. This meant that, in this case, a recorded increase in the intensity of emotions was linked to a decrease in share prices. In September, the strongest correlations with the share prices of Switzerland’s second largest bank were revulsion and expectation forming – according to Pluchik’s theory – a diad of cynicism.
A prototype stock price prediction model was fed for Credit Suisse with financial data (share prices) and data on the intensity of emotions, sentiment and emotional arousal around the company. A model built on an artificial neural network using BiLSTM (bidirectional long short-term memory) was used.
Using our predictive model (Sentistocks service), a success rate of up to 88% in predicting the trend of Credit Suisse’s share price over the period under study was achieved. This shows that potential investors could have successfully predicted the quotation solely on the basis of online discussions about the bank’s financial situation.
Investors remember the great collapse of Lehman Brothers. 14 years ago, it contributed to the outbreak of the global financial crisis. Will Credit Suisse face the same finale? We do not know. But the cost of CDS (insurance against bankruptcy) for the institution has approached the highest levels in almost 15 years. The bank itself foresees bumpy times ahead.
Credit Suisse CDS price. How emotions suggest the direction of a share price trend?
Sentistocks has developed effective predictive models for instruments in the cryptocurrency market. These models use both financial and emotive data to predict future prices (rates). The high success rate of the predictions developed with our tool confirms the huge role played by emotions in financial markets.
by Sentimenti Team | Sep 18, 2022 | Market research, SentiBrand
Analyzing sentiment in the comments and opinions that swarm social media helps uncover what is essential for marketing departments and beyond. It helps track business performance based on customer and product satisfaction information and manage brand reputation online.
Sentiment. Do online comments matter?
The skill is in knowing how to take advantage of customer reviews and comments, which are abundant online. However, it is difficult to extract the ones that are relevant from all the online chatter. Every day there is a whole lot of conversation on social media about services, companies and products.
Social media is a very important space in business development today. It is one of the most cost-effective ways to conduct market research by analyzing customer opinions, and on top of that, it is time-efficient. It allows you to engage with customers – both current and potential – in a valuable way.
This is essential in the process of branding and resolving any negative or sensitive issues as quickly as possible. When we analyze sentiment in social media comments, we get express insights into various aspects of the business that ultimately affect profits.
These include the pros and cons of a product or service, changing market preferences, after-sales service and many other parameters. Today, up to 70% of companies use insights and knowledge from social media reviews to formulate brand strategy, and more than 60% find sentiment analysis data in reviews extremely useful for effective ongoing customer service and sales.
Sentiment analysis is a stepping stone to customer experience analysis and is done through machine learning (ML) models. These include neural networks, natural language processing (NLP), thematic categorization and finally sentiment and emotion analysis.
What does the knowledge coming from the network allow?
Here are some of the most important ways for companies to use sentiment analysis on comments. These include extracting in-depth information about customers and products, discovering emerging market trends, making sales or increasing market share. These include:
- Monitoring overall customer satisfaction;
- Improving the customer experience;
- Getting real-time consumer insights;
- Identifying emotional triggers in customers;
- Improving products and services;
- Building brand loyalty;
- Reducing customer churn;
- Training customer service employees;
- Training chatbots;
- Managing brand reputation;
- Monitoring changes in sentiment over time;
- Improving marketing content published on social media;
- Gaining competitive intelligence;
- Preparing for changes in market trends.
Branding is the focal point of all marketing efforts when it comes to products and services, so studying its image is about understanding how it is perceived by those who use those products or services. It’s also a way to learn the opinions of those who value the competition more.
Branding is basically a psychological phenomena created and designed by marketing to influence consumer preferences and buying behavior. It is the face of a company and the outer shell that the world sees.
Sentiment analysis. Examine your image!
Sentiment analysis helps companies capture what their customers are really saying about them by analyzing the feedback consumers use to express their feelings and emotions in published reviews. Whether these sentiments are positive, neutral, or negative, in the digital age it is important to use this to align your business with market trends
Consumer opinions are essential to understanding a brand. Companies can learn from consumer opinions to improve customer experience and create or change operating strategies.
Sentiment analysis can help a company examine its brand by:
- Discovering what motivates customers and stimulates purchase intentions, or fosters dissatisfaction;
- assessing the impact of marketing campaigns and creative strategies on consumer perception;
- understanding consumer opinions on product price, quality, reliability, user experience, etc.; and
- benchmarking against competing products, services, and brands;
- analyzing and comparing different consumer segments and share of voice.
The three main ways consumers express their feelings and opinions about a brand? They are product reviews, consumer surveys and social media posts.
The challenge for marketers is to collect, analyze and summarize these myriad opinions. This must be done in such a way that their results are understandable and actionable.
Using both topic-based sentiment analysis and machine learning and artificial intelligence, Sentimenti can help analyze customer sentiment and opinions.
It doesn’t matter if it’s qualitative or quantitative research. An important part of branding is understanding what’s behind the content of comments. By doing so, you can gain deeper insights into the minds of consumers or prospective customers, and that’s another step to improving your offerings.
by Sentimenti Team | Mar 18, 2022 | SentiBrand
Customer service is not only about everyday relationships and contacts with the recipient of our products and services. It is also about constantly analyzing their needs, desires and finding ways to satisfy them. Due to the emergence of the COVID-19 pandemic, a large number of companies had to work remotely, which made identifying customer needs quite a challenge.
Customer service. Promotional tools that must be used
The COVID-19 epidemic has caused the term customer experience (CX) to gain importance. Analyzing and solving customer problems has become much more difficult. So how can we improve customer service in the new era, since we already know that there is no going back to what it was like before the epidemic?
There are many tools on the market that can be useful both in remote/online and direct contacts. Below we have selected the key and most helpful ones, the operation and method of use of which may be essential to improve customer service.
Media monitoring. Social listening tools and brand image
Social media monitoring tools are designed to listen to what is being said in social media about a company, brand or any other topic. The market offers many solutions in this area that are more or less tailored to the needs of companies, but they all undoubtedly have one basic feature in common. They allow you to search social media for mentions of a company/brand/product and extract not only what is being said, but also valuable information.
Internet and social media monitoring is perfect for analyzing the effectiveness of current campaigns, analyzing opinions and comments on new products and assessing the general reception of any decisions made by the company. But that’s not all. This type of software can also be used to check what our competition is doing. This will make it easier to compare their strategy with our own. This in turn results in the introduction of necessary changes.
Internet monitoring will also play a key role in avoiding or suppressing image crises that can occur anytime and anywhere. We are talking about media that live 24 hours a day, 7 days a week. Fortunately, social listening works in real time, so if any negative reactions appear online, we will be able to quickly locate the source of their origin and take concrete steps to nip the crisis in the bud.
Internet monitoring. Sentiment analysis and analysis of emotions in Internet user opinions. Insight marketing
Explaining this is a bit complicated, but sentiment analysis is essentially a tool for reviewing communication – whether it is emails, tweets or other – and extracting the information contained within it. However, it is more than just reading text. Sentiment analysis is the analysis of tones and contexts to best assess the meaning of words, rather than taking them at face value.
Sentimenti has an excellent tool to help analyze feedback. It also goes beyond the simple sentiment that companies have known so far, as it provides insight not only into whether a given opinion is positive or negative, but also to what extent. Additionally, the emotions contained in the customer’s comments are examined. There are as many as 8 of them.
Interestingly, Sentimenti tools, thanks to the use of artificial intelligence, examine tens of thousands of opinions in the blink of an eye as if over 20,000 people were reading and evaluating them. If one person did it, the analysis would take several or a dozen days. This is a revolutionary solution that has not been available on the Polish market so far. It is also based on science and is the result of months of expensive research on real people, not an artificial algorithm.
Sentimental analysis is particularly useful in markets where opinions change quickly and services must be constantly updated. However, any organization that wants to save time and respond to customer opinions faster and more effectively will also benefit from this analysis. It is good that ready-made software already exists for this type of analysis, which – considering the complexity – is much more convenient.
SMMW, behavioral analytics and consumer behavior research
Behavioral analytics involves studying consumer behavior on the web. The primary use of such tools is to predict customer needs and desires and proactively solve problems that may arise even before they occur. By checking user demographics, their previous purchases, and similar information, you can predict much of what general problems may arise. Using personal data, you can better understand their unique behavior.
A/B testing, which can be obtained from Google Optimize or a similar tool, is particularly important for checking the effects of changes to the page, while session replay tools such as Hotjar provide more in-depth insight. Behavioral analytics can also be used in sales, where cross-selling and personalization can provide a big boost in revenue by ensuring purchases in places where customers might not see the right products.
It is also useful for creating personalized marketing campaigns and tracking return on investment. Hotjar and Lucky Orange offer tools such as heatmaps, which are particularly helpful in this case. They will help you understand what your visitors are doing on your website, what they are clicking on, and what they may not be seeing.
Customer relationship management (CRM) systems. Customer segments. Ways of communicating on the internet
A customer relationship management (CRM) system is a relatively new technology on the market. The concept of CRM did not emerge until the 1980s. The idea behind CRM is to enable organizations to manage customer interactions and streamline processes to improve overall customer service. The goal is to increase profitability for the business, but it’s also a give-and-take approach that delivers real benefits not just to you, but to the customer as well.
The benefits to the business are wide-ranging. Sales teams can use CRM information to see how individual teams, campaigns, and products are performing. Marketing teams can use CRM data to predict the customer journey a particular person or demographic group might take and tailor their approach to the customer accordingly. Meanwhile, customer service agents can track cases efficiently across multiple platforms without the risk of misinterpreting queries.
Tools in action. Cloud software
Cloud software allows for a personalized approach to customers and extends its reach beyond anything that could have been expected just a few years ago.
Cloud computing not only allows organizations to track the effects of strategies and changes in real time, but also enables every department in the company to access information from anywhere. Key examples include Salesforce, a SaaS platform with useful marketing features, and file-sharing services like Dropbox and Google Drive.
This approach is similar to what is currently being used in scientific research. And for good reason. Cloud software allows teams across the company to instantly access any information in a database and use it to improve the customer experience. Instead of individual teams figuring out what works and what doesn’t, they can skip any mistakes that have already been tried and immediately improve the customer experience.
While this approach is more beneficial for large companies — also for cost reasons — there are advantages for smaller businesses as well. With a centralized place where all information is stored — online, without the risk of losing files or accidental corruption — teams can save time preparing for previous events.
What is omnichannel? Learn about omnichannel sales
Omnichannel often goes hand in hand with cloud databases. It’s simply a must-have if you have multiple channels of communication with your customers. This approach takes all of your contact lines and combines them into a single database, which varies from company to company. In some smaller organizations, a simple spreadsheet will suffice. In larger companies, a cloud database is often essential for cross-departmental and remote communication.
So what are the benefits of omnichannel for consumers? When communicating with someone about a query, no one likes to repeat themselves. Having easily accessible information that someone can access, even if it’s not the person who wrote the data, not only saves employees time and effort, but also prevents the customer from getting frustrated due to a lack of communication.
The best response is a quick response. Another thing is to provide the customer with all the necessary information without bothering them again.
Companies like Disney, Walgreens, and Starbucks have successfully implemented the omnichannel approach. And since tools like Salesforce Social Hub, TalkDesk, and Genesys Multi-Channel are available on the market and can help your business, why not give it a try?
Promoting your business online. Your company website and its constant monitoring
Google Analytics is a must. By that, we mean tracking user behavior on your company website, how they navigate it, what sections they focus on with their mouse, and what links they click on. This is about tracking actions, which is completely harmless and non-invasive, since the customer visiting your website has necessarily given their consent to interact with you.
Tracking your website can reveal a lot about your site’s layout, allowing you to identify any awkward elements that may need to be changed, showing how users navigate irregularly, and where they may end up leaving without making a purchase.
The data collected from tracking your website can be easily translated into a mapping of the online customer journey, thus deepening your understanding of how your customer thinks. While it won’t directly benefit your customers, the information you collect can provide insight into how to best design your website to make it easier for your customers to access the key information they’re looking for.
What’s on the market? Adobe Analytics offers traffic and multi-channel data collection, while Clicky analyzes real-time data on page views and events. Which tool you choose really depends on your business’s needs. Each offers the same basic tracking features with different analysis options.
Chatbots in Marketing and Process Automation
We left the topic of automation for last. It’s exactly what it sounds like: creating a system that does the job for you as much as possible. There are many ways to successfully implement it in customer service. For example, fully automated call centers or chatbots, which have become increasingly popular in recent years.
Some business leaders still scratch their heads at the thought of bots talking to their customers. But they’re very advanced and can be a great way to narrow down online queries — much like the aforementioned automated telephone switchboards.
More advanced versions can also tap into previous interactions or FAQ databases to find answers without involving a human agent. In this case, the benefit to the customer is speed, as a computer program can respond to any interaction almost immediately.
One of the most important benefits of automated responses is 24/7 support, not just during business hours. While there’s certainly no human touch that comes with talking to a team member, those needing help will prefer a bot’s response to waiting until the next morning to get valuable information that could ultimately be crucial to making a sale or turning a customer over to a competitor.
To sum up…
Customer experience is all about information. The more of it we have, the harder it is to find anything meaningful in it. However, with the right tools, which we wrote about below, you can let your computers do most of the work and still get much more meaningful analyses.
Speed is key these days when it comes to customer satisfaction, especially the younger ones. That’s why it’s worth taking a closer look at our advice and checking which of them meet the needs of companies.
by Patryk Le The | Nov 30, 2021 | Categorising comments, Politics and Social, Sentimenti research
Progressive climate change is already visible with the naked eye. In Poland, weather anomalies such as droughts, tornadoes or cloudbursts appear more and more frequently. Especially the latter have become a scourge of the last several weeks: as a result of excessive rainfall many regions of Poland, especially in the south, have been flooded. When in 1997. When the then prime minister Włodzimierz Cimoszewicz, when asked about compensation for flood victims, stated that it was necessary to insure oneself, this (seemingly) obvious issue almost cost him his position, and as a result of the unfortunate statement, his party lost the upcoming elections. How is it today? We checked what Internet users say about insurers in the context of the flood.
Circumstantial opinions about the industry
The insurance industry for a long time aroused mixed feelings among Poles. As a part of the financial industry it enjoyed low social trust for several reasons: this result was sustained by reluctant payments of claims, their amount, the way of calculating premiums, long-lasting and incomprehensible claim validation procedures, etc.
Only the change of the above determinants combined with the increase of social awareness and understanding of the impact of the insurance industry on social and economic security of Poland resulted in gradual but regular increase of confidence in the insurance sector.
Today, the offer of insurers covers a very wide area and Poles themselves insure much more willingly. Although not as willingly as people in Western Europe (in Poland, additional insurance is still seen as a luxury), but the increase in the number of countrymen insuring their life and property is noticeable. In addition, their consumer awareness is also growing, as evidenced by the popularity of various types of insurance comparison sites, ranking machines, etc. and, consequently, changing the insurer to one that offers more favorable terms.
Insurance and floods: a controversial topic
Two catastrophic events, the floods of 1997 and 2010, had an impact on the increased awareness of Poles of the need for flood insurance. This awareness extended not only to the necessity of insuring against the devastating effects of nature, but also to the circumstances surrounding the policies in question: insurance rules, rates and payments due to flood damage.
Poles are now more willing to find out which buildings can be insured and which will be excluded by the insurer, what risk assessment criteria are used in the event of flooding, and to check the properties they buy from this point of view – the low price is no longer an indicator of the attractiveness of a plot of land or of a construction project (e.g. a house, a terraced house etc.), but has become a warning light – buyers check such offers in the flood database with the knowledge that an appraiser from the insurance company will also carry out an analogous procedure.
And there is a lot to fight for: in case of a flood, the insurance may cover not only the losses caused to the property itself, but also to its attached outbuildings and movable equipment: furniture, household appliances, works of art, plants, interior decoration (floors), items used for business activities (e.g. machinery), etc.
Finally, it is worth mentioning that apart from the growing awareness of consumers and effective sales work of insurance agents, there is another aspect – legal regulations. Since 2003, it has been obligatory for farmers with a farm of more than 1 ha to insure themselves against natural disasters. However, according to the insurers’ data, the policy covers mainly residential and farm buildings (90% of farms). In 2020, only 30% of farmers insured their crops and livestock against natural disasters.
The government’s policy plays a major role in this situation – it pays out targeted benefits to help the most affected regions or municipalities, regardless of whether a given household is insured or not. These benefits cover both reconstruction of destroyed houses and temporary support. In part, they make Poles insure themselves only to the mandatory extent.
Insurance. How do internet users discuss them?
We decided to take a look at the emotions that insurance companies and the issue of flood and flood-related repair evoke in the Polish Internet. We checked and researched articles, posts, comments etc. between June and August (15.08) of this year. To begin with, we confronted with each other two simple phrases – “insurance” and “compensation”. This allowed us to get a general idea of the mood of Internet users and the context of mentions (e.g. on forums or web portals) concerning the insurance industry.
Figure 1: Dynamics of mentions of the phrases “insurance” and “compensation” in the period 06-08-2021.
Let’s take a look at the chart: it shows the intensification of insurance discussions in the period 12-26 June and 14-24 July this year, with much less intensity in the phrase “compensation”. The basis of these discussions was, among other things, the catastrophic weather situation in Europe and partly in Poland: a tornado with winds blowing at a speed of over 300 km/h (!) passed over the Czech Moravia, there were also hailstorms, including in Poland – in Tomaszów Mazowiecki the diameter of hailstones amounted to as much as 13.5 cm.
Similar hailstorms occurred in Italy and Switzerland. In addition, thunderstorms and storms caused devastating floods in Belgium, the Netherlands and – above all – in Germany. Slightly weaker, but also powerful rainfall and windstorms were recorded at that time in the country, including Kujawy, central Poland (Lodz), Lesser Poland (Małopolska), Silesia and Podkarpacie.
For these reasons, dozens of articles, analyses, news and reports appeared on the Internet, but also heated discussions under the articles, on forums and in social media: there were requests for help to victims of flooding, criticism of sly car traders hunting for the so-called. There were also intensive criticisms of the government’s assistance to the victims in the context that the victims should have insured themselves earlier, and not now beg for help from the state budget (i.e. “FROM OUR TAXES”). Part of this context were comments on crop losses suffered by farmers.
Part of the discussion also referred to the state of flood protection in the country, with commentators criticizing the government’s ad hoc actions, ineptitude and lack of long-term plans. Finally, the media in general used the opportunity to recall the tragic floods of the past years, which effectively heated the atmosphere of public opinion and the temperature of various discussions.
The temperature of water, or discussants in emotion
Our next activity was to determine the average of the most important emotions of the discussion, and then to show the dynamics of change of these emotions during the period studied. Let’s look at the graph – it perfectly shows the whole situation:
Figure 2: Averaged emotions in discussions with anger, joy, anticipation, and surprise indicated.
The results obtained in the study were basically to be expected. In the graph we see a high level of anger and a similar level of surprise; there is even some overlap in the dynamics of the two emotions. The peaks indicate the intensity of discussion during the period of natural disasters. The level of joy is of course also unsurprising, while it is interesting to note that the joy and expectation graphs coincide in terms of dynamics. This is most likely caused by the reaction to the actions taken by the authorities and, at the same time, hope for a change in the situation.
Insurance. Do internet users have sentiment for the companies?
Nowadays, a popular solution in the market for content analysis using artificial intelligence is the analysis of texts for the sentiment contained in the utterances. Sentiment analysis is also a part of our offer, however, it is only one of the elements of cross-sectional content analysis: without taking into account emotions and the level of emotional arousal, sentiment analysis gives incomplete results, which can also be misinterpreted – two so-called negative emotions (e.g. sadness and anger) will cause the sentiment of an utterance to be determined as negative. Meanwhile, these emotions are significantly different from each other – their impact on the person feeling them will cause different types of behavior (anger – attack, sadness – freeze or flee).
As stated above, as part of the analysis, we also conduct a sentiment study of the text under review. For the purposes of this article, we conducted such a study on a sample of 7901 mentions. Here, too, there were no surprises – insurance companies are not given sentiment by internet users, although we should have said otherwise – the dynamics of mentions indicates the significant presence of negative sentiment. Let’s take a look at the chart:
Figure 3: Sentiment dynamics in mentions of insurance during the study period.
What we see is an intense discord between the number of negative and positive mentions: the dominant sentiment towards the topic is minor, and the dynamics of the negative sentiment is basically inversely proportional to the positive sentiment; the moment when this dynamics is particularly well visible is between 25.06 and 7.07.
Significantly (and this trend is repeated across survey stages and is confirmed in the mentions we collected), much of the negative sentiment about flood insurance is driven by commenters’ anger directed at the uninsured who are demanding that the authorities compensate them for their material losses. Mentions also indicate the frustration, anger and disgust of Internet users with the authorities in general – not only for paying targeted benefits to the victims, but also for systemic negligence in water management and flood control policy.
Finally, a large part of the statements are reminiscences of Internet users about unfortunate speeches of politicians (lack of empathy), misguided visits to disaster sites (only to improve their own image) and statements of a political trolling nature: Internet users leave malicious, often hateful comments about previous governments and their various moves, e.g., migration and foreign policy, migration and foreign policy, and the policy of the Polish government. Internet users leave malicious, often hateful comments about the previous governments and their various policies, such as migration and foreign policy, and criticize the victims for certain political choices – disasters particularly affect areas considered to be bastions of the current government, although these areas are most vulnerable to flooding, waterlogging and floods.
A word of summary
The above analysis of publications and discussions found on the Internet showed us that the topic of insurance in general, and in the context of natural disasters in particular, is still controversial and stirs up a lot of emotions among Poles. First of all, because the progressing climate change causes more and more frequent occurrence of such weather anomalies as tornadoes or flash floods, which are widely commented on in social media, forums, articles and news.
Insurance companies are still not very trusted, although the trend of them building a positive image is growing. They are hindered by … their fellow countrymen, who insure themselves to a minimum extent and usually when required by law. On top of that, according to internauts, there are high premium prices and often difficult loss adjustment procedures. The icing on the cake is the belief that flooding or similar damage caused by a natural disaster will not happen to “us”.
Finally, the government and local governments are not helping insurers to change the current situation. This context is evident from the huge number of mentions – it is emotionally charged and generates a lot of negative emotions – mainly anger, but also fear and surprise. It is little consolation that people who have already experienced a loss of property take care of proper insurance.
Methodology
The study used content obtained through internet and social media monitoring.
- Number of mentions and comments examined: 7991
- Study period: June 1 – August 15, 2021.
- Number of unique discussion sites: 179
- Discussion sites and number of views surveyed. news portals: 6287; Facebook: 1237; Forums and blogs: 223; YouTube: 120; Twitter: 94, Other: 30